Object Tracking and Pose Estimation Using Light-Field Object Models. - Matthias Zobel; Mario Fritz; Ingo Scholz (VMV, 2002)

On the Significance of Real-World Conditions for Material Classification. - Eric Hayman; Barbara Caputo; Mario Fritz; Jan-Olof Eklundh (ECCV (4), 2004)

Integrating Representative and Discriminative Models for Object Category Detection. - Mario Fritz; Bastian Leibe; Barbara Caputo; Bernt Schiele (ICCV, 2005)

The 2005 PASCAL Visual Object Classes Challenge. - Mark Everingham; Andrew Zisserman; Christopher K. I. Williams; Luc Van Gool; Moray Allan; Christopher M. Bishop; Olivier Chapelle; Navneet Dalal; Thomas Deselaers; Gyuri Dorkó; Stefan Duffner; Jan Eichhorn; et al. (MLCW, 2005)

Towards Unsupervised Discovery of Visual Categories. - Mario Fritz; Bernt Schiele (DAGM-Symposium, 2006)

Towards Robust Pedestrian Detection in Crowded Image Sequences. - Edgar Seemann; Mario Fritz; Bernt Schiele (CVPR, 2007)

Decomposition, discovery and detection of visual categories using topic models. - Mario Fritz; Bernt Schiele (CVPR, 2008)

Hierarchical Support Vector Random Fields: Joint Training to Combine Local and Global Features. - Paul Schnitzspan; Mario Fritz; Bernt Schiele (ECCV (2), 2008)

Discovery of activity patterns using topic models. - Tâm Huynh; Mario Fritz; Bernt Schiele (UbiComp, 2008)

Modeling, representing and learning of visual categories. - Mario Fritz (2008)

Discriminative structure learning of hierarchical representations for object detection. - Paul Schnitzspan; Mario Fritz; Stefan Roth 001; Bernt Schiele (CVPR, 2009)

An Additive Latent Feature Model for Transparent Object Recognition. - Mario Fritz; Michael J. Black; Gary R. Bradski; Sergey Karayev; Trevor Darrell (NIPS, 2009)

Categorical Perception. - Mario Fritz; Mykhaylo Andriluka; Sanja Fidler; Michael Stark 003; Ales Leonardis; Bernt Schiele (Cognitive Systems, 2010)

Multi-modal Learning. - Danijel Skocaj; Matej Kristan; Alen Vrecko; Ales Leonardis; Mario Fritz; Michael Stark 003; Bernt Schiele; Somboon Hongeng; Jeremy L. Wyatt (Cognitive Systems, 2010)

Adapting Visual Category Models to New Domains. - Kate Saenko; Brian Kulis; Mario Fritz; Trevor Darrell (ECCV (4), 2010)

Size Matters: Metric Visual Search Constraints from Monocular Metadata. - Mario Fritz; Kate Saenko; Trevor Darrell (NIPS, 2010)

Tutor-based learning of visual categories using different levels of supervision. - Mario Fritz; Geert-Jan M. Kruijff; Bernt Schiele (Comput. Vis. Image Underst., 2010)

Classifying materials in the real world. - Barbara Caputo; Eric Hayman; Mario Fritz; Jan-Olof Eklundh (Image Vis. Comput., 2010)

Improving the Kinect by Cross-Modal Stereo. - Walon Wei-Chen Chiu; Ulf Blanke; Mario Fritz (BMVC, 2011)

A probabilistic model for recursive factorized image features. - Sergey Karayev; Mario Fritz; Sanja Fidler; Trevor Darrell (CVPR, 2011)

Pick Your Neighborhood - Improving Labels and Neighborhood Structure for Label Propagation. - Sandra Ebert; Mario Fritz; Bernt Schiele (DAGM-Symposium, 2011)

The NBNN kernel. - Tinne Tuytelaars; Mario Fritz; Kate Saenko; Trevor Darrell (ICCV, 2011)

I spy with my little eye: Learning optimal filters for cross-modal stereo under projected patterns. - Walon Wei-Chen Chiu; Ulf Blanke; Mario Fritz (ICCV Workshops, 2011)

A category-level 3-D object dataset: Putting the Kinect to work. - Allison Janoch; Sergey Karayev; Yangqing Jia; Jonathan T. Barron; Mario Fritz; Kate Saenko; Trevor Darrell (ICCV Workshops, 2011)

Visual grasp affordances from appearance-based cues. - Hyun Oh Song; Mario Fritz; Chunhui Gu; Trevor Darrell (ICCV Workshops, 2011)

Parametrized shape models for clothing. - Stephen Miller; Mario Fritz; Trevor Darrell; Pieter Abbeel (ICRA, 2011)

Practical 3-D object detection using category and instance-level appearance models. - Kate Saenko; Sergey Karayev; Yangqing Jia; Alex Shyr; Allison Janoch; Jonathan Long; Mario Fritz; Trevor Darrell (IROS, 2011)

Perception for the manipulation of socks. - Ping Chuan Wang; Stephen Miller; Mario Fritz; Trevor Darrell; Pieter Abbeel (IROS, 2011)

Semi-Supervised Learning on a Budget: Scaling Up to Large Datasets. - Sandra Ebert; Mario Fritz; Bernt Schiele (ACCV (1), 2012)

The Pooled NBNN Kernel: Beyond Image-to-Class and Image-to-Image. - Konstantinos Rematas; Mario Fritz; Tinne Tuytelaars (ACCV (1), 2012)

RALF: A reinforced active learning formulation for object class recognition. - Sandra Ebert; Mario Fritz; Bernt Schiele (CVPR, 2012)

Active Metric Learning for Object Recognition. - Sandra Ebert; Mario Fritz; Bernt Schiele (DAGM/OAGM Symposium, 2012)

Recognizing Materials from Virtual Examples. - Wenbin Li 003; Mario Fritz (ECCV (4), 2012)

Sparselet Models for Efficient Multiclass Object Detection. - Hyun Oh Song; Stefan Zickler; Tim Althoff; Ross B. Girshick; Mario Fritz; Christopher Geyer; Pedro F. Felzenszwalb; Trevor Darrell (ECCV (2), 2012)

Timely Object Recognition. - Sergey Karayev; Tobias Baumgartner 002; Mario Fritz; Trevor Darrell (NIPS, 2012)

A geometric approach to robotic laundry folding. - Stephen Miller; Jur van den Berg; Mario Fritz; Trevor Darrell; Kenneth Y. Goldberg; Pieter Abbeel (Int. J. Robotics Res., 2012)

Learning Smooth Pooling Regions for Visual Recognition. - Mateusz Malinowski; Mario Fritz (BMVC, 2013)

Multi-class Video Co-segmentation with a Generative Multi-video Model. - Walon Wei-Chen Chiu; Mario Fritz (CVPR, 2013)

Sequential Bayesian Model Update under Structured Scene Prior for Semantic Road Scenes Labeling. - Evgeny Levinkov; Mario Fritz (ICCV, 2013)

Learnable Pooling Regions for Image Classification - Mateusz Malinowski; Mario Fritz (ICLR (Workshop Poster), 2013)

A Category-Level 3D Object Dataset: Putting the Kinect to Work. - Allison Janoch; Sergey Karayev; Yangqing Jia; Jonathan T. Barron; Mario Fritz; Kate Saenko; Trevor Darrell (Consumer Depth Cameras for Computer Vision, 2013)

Object Disambiguation for Augmented Reality Applications. - Walon Wei-Chen Chiu; Gregory Johnson; Daniel McCulley; Oliver Grau; Mario Fritz (BMVC, 2014)

Anytime Recognition of Objects and Scenes. - Sergey Karayev; Mario Fritz; Trevor Darrell (CVPR, 2014)

Image-Based Synthesis and Re-synthesis of Viewpoints Guided by 3D Models. - Konstantinos Rematas; Tobias Ritschel 001; Mario Fritz; Tinne Tuytelaars (CVPR, 2014)

Ubic: Bridging the Gap between Digital Cryptography and the Physical World. - Mark Simkin 001; Dominique Schröder; Andreas Bulling; Mario Fritz (ESORICS (1), 2014)

A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input. - Mateusz Malinowski; Mario Fritz (NIPS, 2014)

Learning Multi-Scale Representations for Material Classification. - Wenbin Li 003; Mario Fritz (CoRR, 2014)

Towards a Visual Turing Challenge. - Mateusz Malinowski; Mario Fritz (CoRR, 2014)

A Pooling Approach to Modelling Spatial Relations for Image Retrieval and Annotation. - Mateusz Malinowski; Mario Fritz (CoRR, 2014)

Prediction of search targets from fixations in open-world settings. - Hosnieh Sattar; Sabine Müller 001; Mario Fritz; Andreas Bulling (CVPR, 2015)

Appearance-based gaze estimation in the wild. - Xucong Zhang; Yusuke Sugano; Mario Fritz; Andreas Bulling (CVPR, 2015)

Teaching robots the use of human tools from demonstration with non-dexterous end-effectors. - Wenbin Li 003; Mario Fritz (Humanoids, 2015)

See the Difference: Direct Pre-Image Reconstruction and Pose Estimation by Differentiating HOG. - Walon Wei-Chen Chiu; Mario Fritz (ICCV, 2015)

Ask Your Neurons: A Neural-Based Approach to Answering Questions about Images. - Mateusz Malinowski; Marcus Rohrbach; Mario Fritz (ICCV, 2015)

Joint segmentation and activity discovery using semantic and temporal priors. - Julia Seiter 001; Walon Wei-Chen Chiu; Mario Fritz; Oliver Amft; Gerhard Tröster (PerCom, 2015)

Hard to Cheat: A Turing Test based on Answering Questions about Images. - Mateusz Malinowski; Mario Fritz (CoRR, 2015)

GazeDPM: Early Integration of Gaze Information in Deformable Part Models. - Iaroslav Shcherbatyi; Andreas Bulling; Mario Fritz (CoRR, 2015)

Towards Segmenting Consumer Stereo Videos: Benchmark, Baselines and Ensembles. - Wei-Chen Chiu; Fabio Galasso; Mario Fritz (ACCV (5), 2016)

Mean Box Pooling: A Rich Image Representation and Output Embedding for the Visual Madlibs Task. - Mateusz Malinowski; Ashkan Mokarian; Mario Fritz (BMVC, 2016)

Multi-cue Zero-Shot Learning with Strong Supervision. - Zeynep Akata; Mateusz Malinowski; Mario Fritz; Bernt Schiele (CVPR, 2016)

Deep Reflectance Maps. - Konstantinos Rematas; Tobias Ritschel 001; Mario Fritz; Efstratios Gavves; Tinne Tuytelaars (CVPR, 2016)

Learning to Select Long-Track Features for Structure-From-Motion and Visual SLAM. - Jonas Scheer; Mario Fritz; Oliver Grau (GCPR, 2016)

Faceless Person Recognition: Privacy Implications in Social Media. - Seong Joon Oh; Rodrigo Benenson; Mario Fritz; Bernt Schiele (ECCV (3), 2016)

VConv-DAE: Deep Volumetric Shape Learning Without Object Labels. - Abhishek Sharma 008; Oliver Grau; Mario Fritz (ECCV Workshops (3), 2016)

Xplore-M-Ego: Contextual Media Retrieval Using Natural Language Queries. - Sreyasi Nag Chowdhury; Mateusz Malinowski; Andreas Bulling; Mario Fritz (ICMR, 2016)

I-Pic: A Platform for Privacy-Compliant Image Capture. - Paarijaat Aditya; Rijurekha Sen; Peter Druschel; Seong Joon Oh; Rodrigo Benenson; Mario Fritz; Bernt Schiele; Bobby Bhattacharjee; Tong Tong Wu (MobiSys, 2016)

Demo: I-Pic: A Platform for Privacy-Compliant Image Capture. - Paarijaat Aditya; Rijurekha Sen; Peter Druschel; Seong Joon Oh; Rodrigo Benenson; Mario Fritz; Bernt Schiele; Bobby Bhattacharjee; Tong Tong Wu (MobiSys (Companion Volume), 2016)

Recognition of ongoing complex activities by sequence prediction over a hierarchical label space. - Wenbin Li 003; Mario Fritz (WACV, 2016)

To Fall Or Not To Fall: A Visual Approach to Physical Stability Prediction. - Wenbin Li 003; Seyedmajid Azimi; Ales Leonardis; Mario Fritz (CoRR, 2016)

Spatio-Temporal Image Boundary Extrapolation. - Apratim Bhattacharyya; Mateusz Malinowski; Mario Fritz (CoRR, 2016)

Long-Term Image Boundary Extrapolation. - Apratim Bhattacharyya; Mateusz Malinowski; Bernt Schiele; Mario Fritz (CoRR, 2016)

Contextual Media Retrieval Using Natural Language Queries. - Sreyasi Nag Chowdhury; Mateusz Malinowski; Andreas Bulling; Mario Fritz (CoRR, 2016)

DeLight-Net: Decomposing Reflectance Maps into Specular Materials and Natural Illumination. - Stamatios Georgoulis; Konstantinos Rematas; Tobias Ritschel 001; Mario Fritz; Luc Van Gool; Tinne Tuytelaars (CoRR, 2016)

Natural Illumination from Multiple Materials Using Deep Learning. - Stamatios Georgoulis; Konstantinos Rematas; Tobias Ritschel 001; Mario Fritz; Tinne Tuytelaars; Luc Van Gool (CoRR, 2016)

RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling. - Yang He 005; Wei-Chen Chiu; Margret Keuper; Mario Fritz (CoRR, 2016)

Tutorial on Answering Questions about Images with Deep Learning. - Mateusz Malinowski; Mario Fritz (CoRR, 2016)

Predicting the Category and Attributes of Mental Pictures Using Deep Gaze Pooling. - Hosnieh Sattar; Andreas Bulling; Mario Fritz (CoRR, 2016)

Learning to Detect Visual Grasp Affordance. - Hyun Oh Song; Mario Fritz; Daniel Goehring; Trevor Darrell (IEEE Trans Autom. Sci. Eng., 2016)

Visual Stability Prediction and Its Application to Manipulation. - Wenbin Li 003; Ales Leonardis; Mario Fritz (AAAI Spring Symposia, 2017)

STD2P: RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling. - Yang He 005; Wei-Chen Chiu; Margret Keuper; Mario Fritz (CVPR, 2017)

Exploiting Saliency for Object Segmentation from Image Level Labels. - Seong Joon Oh; Rodrigo Benenson; Anna Khoreva; Zeynep Akata; Mario Fritz; Bernt Schiele (CVPR, 2017)

A Domain Based Approach to Social Relation Recognition. - Qianru Sun; Bernt Schiele; Mario Fritz (CVPR, 2017)

It's Written All Over Your Face: Full-Face Appearance-Based Gaze Estimation. - Xucong Zhang; Yusuke Sugano; Mario Fritz; Andreas Bulling (CVPR Workshops, 2017)

Learning Dilation Factors for Semantic Segmentation of Street Scenes. - Yang He 005; Margret Keuper; Bernt Schiele; Mario Fritz (GCPR, 2017)

What is Around the Camera? - Stamatios Georgoulis; Konstantinos Rematas; Tobias Ritschel 001; Mario Fritz; Tinne Tuytelaars; Luc Van Gool (ICCV, 2017)

Adversarial Image Perturbation for Privacy Protection A Game Theory Perspective. - Seong Joon Oh; Mario Fritz; Bernt Schiele (ICCV, 2017)

Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images. - Tribhuvanesh Orekondy; Bernt Schiele; Mario Fritz (ICCV, 2017)

Speaking the Same Language: Matching Machine to Human Captions by Adversarial Training. - Rakshith Shetty; Marcus Rohrbach; Lisa Anne Hendricks; Mario Fritz; Bernt Schiele (ICCV, 2017)

Predicting the Category and Attributes of Visual Search Targets Using Deep Gaze Pooling. - Hosnieh Sattar; Andreas Bulling; Mario Fritz (ICCV Workshops, 2017)

Visual stability prediction for robotic manipulation. - Wenbin Li 003; Ales Leonardis; Mario Fritz (ICRA, 2017)

Advanced Steel Microstructure Classification by Deep Learning Methods. - Seyedmajid Azimi; Dominik Britz; Michael Engstler; Mario Fritz; Frank Mücklich (CoRR, 2017)

Visual Decoding of Targets During Visual Search From Human Eye Fixations. - Hosnieh Sattar; Mario Fritz; Andreas Bulling (CoRR, 2017)

Person Recognition in Social Media Photos. - Seong Joon Oh; Rodrigo Benenson; Mario Fritz; Bernt Schiele (CoRR, 2017)

Acquiring Target Stacking Skills by Goal-Parameterized Deep Reinforcement Learning. - Wenbin Li 003; Jeannette Bohg; Mario Fritz (CoRR, 2017)

Whitening Black-Box Neural Networks. - Seong Joon Oh; Max Augustin; Bernt Schiele; Mario Fritz (CoRR, 2017)

A4NT: Author Attribute Anonymity by Adversarial Training of Neural Machine Translation. - Rakshith Shetty; Bernt Schiele; Mario Fritz (CoRR, 2017)

Ask Your Neurons: A Deep Learning Approach to Visual Question Answering. - Mateusz Malinowski; Marcus Rohrbach; Mario Fritz (Int. J. Comput. Vis., 2017)

Novel Views of Objects from a Single Image. - Konstantinos Rematas; Chuong H. Nguyen; Tobias Ritschel 001; Mario Fritz; Tinne Tuytelaars (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Long-Term Image Boundary Prediction. - Apratim Bhattacharyya; Mateusz Malinowski; Bernt Schiele; Mario Fritz (AAAI, 2018)

Long-Term On-Board Prediction of People in Traffic Scenes Under Uncertainty. - Apratim Bhattacharyya; Mario Fritz; Bernt Schiele (CVPR, 2018)

Accurate and Diverse Sampling of Sequences Based on a "Best of Many" Sample Objective. - Apratim Bhattacharyya; Bernt Schiele; Mario Fritz (CVPR, 2018)

Disentangled Person Image Generation. - Liqian Ma; Qianru Sun; Stamatios Georgoulis; Luc Van Gool; Bernt Schiele; Mario Fritz (CVPR, 2018)

Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images. - Tribhuvanesh Orekondy; Mario Fritz; Bernt Schiele (CVPR, 2018)

Natural and Effective Obfuscation by Head Inpainting. - Qianru Sun; Liqian Ma; Seong Joon Oh; Luc Van Gool; Bernt Schiele; Mario Fritz (CVPR, 2018)

Workshop on Interactive and Adaptive Learning in an Open World. - Alexander Freytag; Vittorio Ferrari; Mario Fritz; Uwe Franke; Terrance E. Boult; Juergen Gall; Walter J. Scheirer; Angela Yao; Erik Rodner (ECCV Workshops (6), 2018)

Diverse Conditional Image Generation by Stochastic Regression with Latent Drop-Out Codes. - Yang He 005; Bernt Schiele; Mario Fritz (ECCV (16), 2018)

A Hybrid Model for Identity Obfuscation by Face Replacement. - Qianru Sun; Ayush Tewari; Weipeng Xu; Mario Fritz; Christian Theobalt; Bernt Schiele (ECCV (1), 2018)

Answering Visual What-If Questions: From Actions to Predicted Scene Descriptions. - Misha Wagner; Hector Basevi; Rakshith Shetty; Wenbin Li 003; Mateusz Malinowski; Mario Fritz; Ales Leonardis (ECCV Workshops (1), 2018)

Towards Reverse-Engineering Black-Box Neural Networks. - Seong Joon Oh; Max Augustin; Mario Fritz; Bernt Schiele (ICLR (Poster), 2018)

Adversarial Scene Editing: Automatic Object Removal from Weak Supervision. - Rakshith Shetty; Mario Fritz; Bernt Schiele (NeurIPS, 2018)

A4NT: Author Attribute Anonymity by Adversarial Training of Neural Machine Translation. - Rakshith Shetty; Bernt Schiele; Mario Fritz (USENIX Security Symposium, 2018)

Deep Appearance Maps. - Maxim Maximov; Tobias Ritschel 001; Mario Fritz (CoRR, 2018)

Understanding and Controlling User Linkability in Decentralized Learning. - Tribhuvanesh Orekondy; Seong Joon Oh; Bernt Schiele; Mario Fritz (CoRR, 2018)

Sequential Attacks on Agents for Long-Term Adversarial Goals. - Edgar Tretschk; Seong Joon Oh; Mario Fritz (CoRR, 2018)

ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models. - Ahmed Salem 001; Yang Zhang 016; Mathias Humbert; Mario Fritz; Michael Backes 001 (CoRR, 2018)

Attributing Fake Images to GANs: Analyzing Fingerprints in Generated Images. - Ning Yu 006; Larry Davis 001; Mario Fritz (CoRR, 2018)

Reflectance and Natural Illumination from Single-Material Specular Objects Using Deep Learning. - Stamatios Georgoulis; Konstantinos Rematas; Tobias Ritschel 001; Efstratios Gavves; Mario Fritz; Luc Van Gool; Tinne Tuytelaars (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Time-Conditioned Action Anticipation in One Shot. - Qiuhong Ke; Mario Fritz; Bernt Schiele (CVPR, 2019)

Knockoff Nets: Stealing Functionality of Black-Box Models. - Tribhuvanesh Orekondy; Bernt Schiele; Mario Fritz (CVPR, 2019)

Not Using the Car to See the Sidewalk - Quantifying and Controlling the Effects of Context in Classification and Segmentation. - Rakshith Shetty; Bernt Schiele; Mario Fritz (CVPR, 2019)

Deep Appearance Maps. - Maxim Maximov; Tobias Ritschel 001; Laura Leal-Taixé; Mario Fritz (ICCV, 2019)

Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints. - Ning Yu 006; Larry Davis 001; Mario Fritz (ICCV, 2019)

Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods. - Apratim Bhattacharyya; Mario Fritz; Bernt Schiele (ICLR (Poster), 2019)

ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models. - Ahmed Salem 001; Yang Zhang 016; Mathias Humbert; Pascal Berrang; Mario Fritz; Michael Backes 001 (NDSS, 2019)

Fashion Is Taking Shape: Understanding Clothing Preference Based on Body Shape From Online Sources. - Hosnieh Sattar; Gerard Pons-Moll; Mario Fritz (WACV, 2019)

Learning Manipulation under Physics Constraints with Visual Perception. - Wenbin Li 003; Ales Leonardis; Jeannette Bohg; Mario Fritz (CoRR, 2019)

Shape Evasion: Preventing Body Shape Inference of Multi-Stage Approaches. - Hosnieh Sattar; Katharina Krombholz; Gerard Pons-Moll; Mario Fritz (CoRR, 2019)

SampleFix: Learning to Correct Programs by Sampling Diverse Fixes. - Hossein Hajipour; Apratim Bhattacharyya; Mario Fritz (CoRR, 2019)

Prediction Poisoning: Utility-Constrained Defenses Against Model Stealing Attacks. - Tribhuvanesh Orekondy; Bernt Schiele; Mario Fritz (CoRR, 2019)

Interpretability Beyond Classification Output: Semantic Bottleneck Networks. - Max Maria Losch; Mario Fritz; Bernt Schiele (CoRR, 2019)

Conditional Flow Variational Autoencoders for Structured Sequence Prediction. - Apratim Bhattacharyya; Michael Hanselmann; Mario Fritz; Bernt Schiele; Christoph-Nikolas Straehle (CoRR, 2019)

WhiteNet: Phishing Website Detection by Visual Whitelists. - Sahar Abdelnabi; Katharina Krombholz; Mario Fritz (CoRR, 2019)

GAN-Leaks: A Taxonomy of Membership Inference Attacks against GANs. - Dingfan Chen; Ning Yu 006; Yang Zhang 016; Mario Fritz (CoRR, 2019)

"Best-of-Many-Samples" Distribution Matching. - Apratim Bhattacharyya; Mario Fritz; Bernt Schiele (CoRR, 2019)

MPIIGaze: Real-World Dataset and Deep Appearance-Based Gaze Estimation. - Xucong Zhang; Yusuke Sugano; Mario Fritz; Andreas Bulling (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Towards Reverse-Engineering Black-Box Neural Networks. - Seong Joon Oh; Bernt Schiele; Mario Fritz (Explainable AI, 2019)

VisualPhishNet: Zero-Day Phishing Website Detection by Visual Similarity. - Sahar Abdelnabi; Katharina Krombholz; Mario Fritz (CCS, 2020)

GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models. - Dingfan Chen; Ning Yu 006; Yang Zhang 016; Mario Fritz (CCS, 2020)

Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing. - Vedika Agarwal; Rakshith Shetty; Mario Fritz (CVPR, 2020)

Normalizing Flows With Multi-Scale Autoregressive Priors. - Apratim Bhattacharyya; Shweta Mahajan; Mario Fritz; Bernt Schiele; Stefan Roth 001 (CVPR, 2020)

Haar Wavelet Based Block Autoregressive Flows for Trajectories. - Apratim Bhattacharyya; Christoph-Nikolas Straehle; Mario Fritz; Bernt Schiele (GCPR, 2020)

Long-Tailed Recognition Using Class-Balanced Experts. - Saurabh Sharma; Ning Yu 006; Mario Fritz; Bernt Schiele (GCPR, 2020)

Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation. - Yang He 005; Shadi Rahimian; Bernt Schiele; Mario Fritz (ECCV (23), 2020)

Synthetic Convolutional Features for Improved Semantic Segmentation. - Yang He 005; Bernt Schiele; Mario Fritz (ECCV Workshops (4), 2020)

Body Shape Privacy in Images: Understanding Privacy and Preventing Automatic Shape Extraction. - Hosnieh Sattar; Katharina Krombholz; Gerard Pons-Moll; Mario Fritz (ECCV Workshops (5), 2020)

Towards Automated Testing and Robustification by Semantic Adversarial Data Generation. - Rakshith Shetty; Mario Fritz; Bernt Schiele (ECCV (2), 2020)

Inclusive GAN: Improving Data and Minority Coverage in Generative Models. - Ning Yu 006; Ke Li 011; Peng Zhou 009; Jitendra Malik; Larry Davis 001; Mario Fritz (ECCV (22), 2020)

Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks. - Tribhuvanesh Orekondy; Bernt Schiele; Mario Fritz (ICLR, 2020)

GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators. - Dingfan Chen; Tribhuvanesh Orekondy; Mario Fritz (NeurIPS, 2020)

Automatically Detecting Bystanders in Photos to Reduce Privacy Risks. - Rakibul Hasan 001; David J. Crandall; Mario Fritz; Apu Kapadia (SP, 2020)

Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning. - Ahmed Salem 001; Apratim Bhattacharya; Michael Backes 001; Mario Fritz; Yang Zhang 016 (USENIX Security Symposium, 2020)

Everything About You: A Multimodal Approach towards Friendship Inference in Online Social Networks. - Tahleen A. Rahman; Mario Fritz; Michael Backes 001; Yang Zhang 016 (CoRR, 2020)

IReEn: Iterative Reverse-Engineering of Black-Box Functions via Neural Program Synthesis. - Hossein Hajipour; Mateusz Malinowski; Mario Fritz (CoRR, 2020)

Black-Box Watermarking for Generative Adversarial Networks. - Vladislav Skripniuk; Ning Yu 006; Sahar Abdelnabi; Mario Fritz (CoRR, 2020)

Sampling Attacks: Amplification of Membership Inference Attacks by Repeated Queries. - Shadi Rahimian; Tribhuvanesh Orekondy; Mario Fritz (CoRR, 2020)

CosSGD: Nonlinear Quantization for Communication-efficient Federated Learning. - Yang He 005; Maximilian Zenk; Mario Fritz (CoRR, 2020)

Editor's Note. - Thomas Brox; Mario Fritz (Int. J. Comput. Vis., 2020)

Deep gaze pooling: Inferring and visually decoding search intents from human gaze fixations. - Hosnieh Sattar; Mario Fritz; Andreas Bulling (Neurocomputing, 2020)

Person Recognition in Personal Photo Collections. - Seong Joon Oh; Rodrigo Benenson; Mario Fritz; Bernt Schiele (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

What's in the box: Deflecting Adversarial Attacks by Randomly Deploying Adversarially-Disjoint Models. - Sahar Abdelnabi; Mario Fritz (MTD@CCS, 2021)

Differential Privacy Defenses and Sampling Attacks for Membership Inference. - Shadi Rahimian; Tribhuvanesh Orekondy; Mario Fritz (AISec@CCS, 2021)

Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers. - Apratim Bhattacharyya; Daniel Olmeda Reino; Mario Fritz; Bernt Schiele (CVPR, 2021)

Convolutional Dynamic Alignment Networks for Interpretable Classifications. - Moritz Böhle; Mario Fritz; Bernt Schiele (CVPR, 2021)

MLCapsule: Guarded Offline Deployment of Machine Learning as a Service. - Lucjan Hanzlik; Yang Zhang 016; Kathrin Grosse; Ahmed Salem 001; Maximilian Augustin; Michael Backes 001; Mario Fritz (CVPR Workshops, 2021)

InfoScrub: Towards Attribute Privacy by Targeted Obfuscation. - Hui-Po Wang; Tribhuvanesh Orekondy; Mario Fritz (CVPR Workshops, 2021)

Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs. - Hui-Po Wang; Ning Yu 006; Mario Fritz (CVPR, 2021)

Dual Contrastive Loss and Attention for GANs. - Ning Yu 006; Guilin Liu; Aysegul Dundar; Andrew Tao; Bryan Catanzaro; Larry Davis 001; Mario Fritz (ICCV, 2021)

Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data. - Ning Yu 006; Vladislav Skripniuk; Sahar Abdelnabi; Mario Fritz (ICCV, 2021)

Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis. - Yang He 005; Ning Yu 006; Margret Keuper; Mario Fritz (IJCAI, 2021)

SampleFix: Learning to Generate Functionally Diverse Fixes. - Hossein Hajipour; Apratim Bhattacharyya; Cristian-Alexandru Staicu; Mario Fritz (PKDD/ECML Workshops (2), 2021)

IReEn: Reverse-Engineering of Black-Box Functions via Iterative Neural Program Synthesis. - Hossein Hajipour; Mateusz Malinowski; Mario Fritz (PKDD/ECML Workshops (2), 2021)

Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hiding. - Sahar Abdelnabi; Mario Fritz (SP, 2021)

Future Moment Assessment for Action Query. - Qiuhong Ke; Mario Fritz; Bernt Schiele (WACV, 2021)

Backdoor Attacks on Network Certification via Data Poisoning. - Tobias Lorenz 002; Marta Kwiatkowska; Mario Fritz (CoRR, 2021)

Semantic Bottlenecks: Quantifying and Improving Inspectability of Deep Representations. - Max Maria Losch; Mario Fritz; Bernt Schiele (Int. J. Comput. Vis., 2021)

Practical Challenges in Differentially-Private Federated Survival Analysis of Medical Data. - Shadi Rahimian; Raouf Kerkouche; Ina Kurth; Mario Fritz (CHIL, 2022)

Open-Domain, Content-based, Multi-modal Fact-checking of Out-of-Context Images via Online Resources. - Sahar Abdelnabi; Rakibul Hasan 001; Mario Fritz (CVPR, 2022)

B-cos Networks: Alignment is All We Need for Interpretability. - Moritz Böhle; Mario Fritz; Bernt Schiele (CVPR, 2022)

RelaxLoss: Defending Membership Inference Attacks without Losing Utility. - Dingfan Chen; Ning Yu 006; Mario Fritz (ICLR, 2022)

Responsible Disclosure of Generative Models Using Scalable Fingerprinting. - Ning Yu 006; Vladislav Skripniuk; Dingfan Chen; Larry S. Davis; Mario Fritz (ICLR, 2022)

ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training. - Hui-Po Wang; Sebastian U. Stich; Yang He 005; Mario Fritz (ICML, 2022)

Private Set Generation with Discriminative Information. - Dingfan Chen; Raouf Kerkouche; Mario Fritz (NeurIPS, 2022)

ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models. - Yugeng Liu; Rui Wen 002; Xinlei He 001; Ahmed Salem 001; Zhikun Zhang 001; Michael Backes 001; Emiliano De Cristofaro; Mario Fritz; Yang Zhang 016 (USENIX Security Symposium, 2022)

SimSCOOD: Systematic Analysis of Out-of-Distribution Behavior of Source Code Models. - Hossein Hajipour; Ning Yu 006; Cristian-Alexandru Staicu; Mario Fritz (CoRR, 2022)

Understanding Utility and Privacy of Demographic Data in Education Technology by Causal Analysis and Adversarial-Censoring. - Rakibul Hasan 001; Mario Fritz (Proc. Priv. Enhancing Technol., 2022)

From Attachments to SEO: Click Here to Learn More about Clickbait PDFs! - Giada Stivala; Sahar Abdelnabi; Andrea Mengascini; Mariano Graziano; Mario Fritz; Giancarlo Pellegrino (ACSAC, 2023)

Certifiers Make Neural Networks Vulnerable to Availability Attacks. - Tobias Lorenz 002; Marta Kwiatkowska; Mario Fritz (AISec@CCS, 2023)

Not What You've Signed Up For: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection. - Sahar Abdelnabi; Kai Greshake; Shailesh Mishra; Christoph Endres; Thorsten Holz; Mario Fritz (AISec@CCS, 2023)

MargCTGAN: A "Marginally" Better CTGAN for the Low Sample Regime. - Tejumade Afonja; Dingfan Chen; Mario Fritz (DAGM, 2023)

Certified Robust Models with Slack Control and Large Lipschitz Constants. - Max Maria Losch; David Stutz; Bernt Schiele; Mario Fritz (DAGM, 2023)

Fact-Saboteurs: A Taxonomy of Evidence Manipulation Attacks against Fact-Verification Systems. - Sahar Abdelnabi; Mario Fritz (USENIX Security Symposium, 2023)

UnGANable: Defending Against GAN-based Face Manipulation. - Zheng Li 023; Ning Yu 006; Ahmed Salem 001; Michael Backes 001; Mario Fritz; Yang Zhang 016 (USENIX Security Symposium, 2023)

Client-specific Property Inference against Secure Aggregation in Federated Learning. - Raouf Kerkouche; Gergely Ács; Mario Fritz (WPES@CCS, 2023)

Holistically Explainable Vision Transformers. - Moritz Böhle; Mario Fritz; Bernt Schiele (CoRR, 2023)

Fed-GLOSS-DP: Federated, Global Learning using Synthetic Sets with Record Level Differential Privacy. - Hui-Po Wang; Dingfan Chen; Raouf Kerkouche; Mario Fritz (CoRR, 2023)

Systematically Finding Security Vulnerabilities in Black-Box Code Generation Models. - Hossein Hajipour; Thorsten Holz; Lea Schönherr; Mario Fritz (CoRR, 2023)

Data Forensics in Diffusion Models: A Systematic Analysis of Membership Privacy. - Derui Zhu; Dingfan Chen; Jens Grossklags; Mario Fritz (CoRR, 2023)

More than you've asked for: A Comprehensive Analysis of Novel Prompt Injection Threats to Application-Integrated Large Language Models. - Kai Greshake; Sahar Abdelnabi; Shailesh Mishra; Christoph Endres; Thorsten Holz; Mario Fritz (CoRR, 2023)

From Bad to Worse: Using Private Data to Propagate Disinformation on Online Platforms with a Greater Efficiency. - Protik Bose Pranto; Waqar Hassan Khan; Sahar Abdelnabi; Rebecca Weil; Mario Fritz; Rakibul Hasan 001 (CoRR, 2023)

A Large-Scale Study of Phishing PDF Documents. - Giada Stivala; Sahar Abdelnabi; Andrea Mengascini; Mariano Graziano; Mario Fritz; Giancarlo Pellegrino (CoRR, 2023)

LLM-Deliberation: Evaluating LLMs with Interactive Multi-Agent Negotiation Games. - Sahar Abdelnabi; Amr Gomaa; Sarath Sivaprasad; Lea Schönherr; Mario Fritz (CoRR, 2023)

Going Beyond Familiar Features for Deep Anomaly Detection. - Sarath Sivaprasad; Mario Fritz (CoRR, 2023)

Privacy-Aware Document Visual Question Answering. - Rubèn Tito; Khanh Nguyen; Marlon Tobaben; Raouf Kerkouche; Mohamed Ali Souibgui; Kangsoo Jung; Lei Kang; Ernest Valveny; Antti Honkela; Mario Fritz; Dimosthenis Karatzas (CoRR, 2023)

Optimising for Interpretability: Convolutional Dynamic Alignment Networks. - Moritz Böhle; Mario Fritz; Bernt Schiele (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

CSCS '24 - Cyber Security in CarS Workshop. - Mario Fritz; Christoph Krauß; Hans-Joachim Hof (CCS, 2024)

FullCert: Deterministic End-to-End Certification for Training and Inference of Neural Networks. - Tobias Lorenz 002; Marta Kwiatkowska; Mario Fritz (GCPR (1), 2024)

Inside the Black Box: Detecting Data Leakage in Pre-Trained Language Encoders. - Yuan Xin; Zheng Li 023; Ning Yu 006; Dingfan Chen; Mario Fritz; Michael Backes 001; Yang Zhang 016 (ECAI, 2024)

LLM Task Interference: An Initial Study on the Impact of Task-Switch in Conversational History. - Akash Gupta; Ivaxi Sheth; Vyas Raina; Mark J. F. Gales; Mario Fritz (EMNLP, 2024)

Tell Me What You Like and I Know What You Will Share: Topical Interest Influences Behavior Toward News From High and Low Credible Sources. - Rebecca Weil; Sahar Abdelnabi; Mario Fritz; Rakibul Hasan 001 (EuroS&P Workshops, 2024)

Privacy-Aware Document Visual Question Answering. - Rubèn Tito; Khanh Nguyen; Marlon Tobaben; Raouf Kerkouche; Mohamed Ali Souibgui; Kangsoo Jung; Joonas Jälkö; Vincent Poulain D'Andecy; Aurélie Joseph; Lei Kang; Ernest Valveny; Antti Honkela; et al. (ICDAR (6), 2024)

On Adversarial Training without Perturbing all Examples. - Max Maria Losch; Mohamed Omran; David Stutz; Mario Fritz; Bernt Schiele (ICLR, 2024)

MultiMax: Sparse and Multi-Modal Attention Learning. - Yuxuan Zhou 004; Mario Fritz; Margret Keuper (ICML, 2024)

Adaptive Hierarchical Certification for Segmentation using Randomized Smoothing. - Alaa Anani; Tobias Lorenz 002; Bernt Schiele; Mario Fritz (ICML, 2024)

Stealthy Imitation: Reward-guided Environment-free Policy Stealing. - Zhixiong Zhuang; Maria-Irina Nicolae; Mario Fritz (ICML, 2024)

SimSCOOD: Systematic Analysis of Out-of-Distribution Generalization in Fine-tuned Source Code Models. - Hossein Hajipour; Ning Yu 006; Cristian-Alexandru Staicu; Mario Fritz (NAACL-HLT (Findings), 2024)

PoLLMgraph: Unraveling Hallucinations in Large Language Models via State Transition Dynamics. - Derui Zhu; Dingfan Chen; Qing Li 038; Zongxiong Chen; Lei Ma 003; Jens Grossklags; Mario Fritz (NAACL-HLT (Findings), 2024)

Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation. - Sahar Abdelnabi; Amr Gomaa; Sarath Sivaprasad; Lea Schönherr; Mario Fritz (NeurIPS, 2024)

Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition. - Edoardo Debenedetti; Javier Rando; Daniel Paleka; Silaghi Fineas Florin; Dragos Albastroiu; Niv Cohen; Yuval Lemberg; Reshmi Ghosh; Rui Wen 002; Ahmed Salem 001; Giovanni Cherubin; Santiago Zanella-Béguelin; et al. (NeurIPS, 2024)

Language Models as Zero-shot Lossless Gradient Compressors: Towards General Neural Parameter Prior Models. - Hui-Po Wang; Mario Fritz (NeurIPS, 2024)

CodeLMSec Benchmark: Systematically Evaluating and Finding Security Vulnerabilities in Black-Box Code Language Models. - Hossein Hajipour; Keno Hassler; Thorsten Holz; Lea Schönherr; Mario Fritz (SaTML, 2024)

SecurityNet: Assessing Machine Learning Vulnerabilities on Public Models. - Boyang Zhang; Zheng Li 023; Ziqing Yang 002; Xinlei He 001; Michael Backes 001; Mario Fritz; Yang Zhang 016 (USENIX Security Symposium, 2024)

Private and Collaborative Kaplan-Meier Estimators. - Shadi Rahimian; Raouf Kerkouche; Ina Kurth; Mario Fritz (WPES@CCS, 2024)

Towards Biologically Plausible and Private Gene Expression Data Generation. - Dingfan Chen; Marie Oestreich; Tejumade Afonja; Raouf Kerkouche; Matthias Becker 003; Mario Fritz (CoRR, 2024)

Exploring Value Biases: How LLMs Deviate Towards the Ideal. - Sarath Sivaprasad; Pramod Kaushik; Sahar Abdelnabi; Mario Fritz (CoRR, 2024)

Can LLMs Separate Instructions From Data? And What Do We Even Mean By That? - Egor Zverev; Sahar Abdelnabi; Mario Fritz; Christoph H. Lampert (CoRR, 2024)

Are you still on track!? Catching LLM Task Drift with Activations. - Sahar Abdelnabi; Aideen Fay; Giovanni Cherubin; Ahmed Salem 001; Mario Fritz; Andrew Paverd (CoRR, 2024)

Hypothesizing Missing Causal Variables with LLMs. - Ivaxi Sheth; Sahar Abdelnabi; Mario Fritz (CoRR, 2024)

HexaCoder: Secure Code Generation via Oracle-Guided Synthetic Training Data. - Hossein Hajipour; Lea Schönherr; Thorsten Holz; Mario Fritz (CoRR, 2024)

LLM2Swarm: Robot Swarms that Responsively Reason, Plan, and Collaborate through LLMs. - Volker Strobel; Marco Dorigo; Mario Fritz (CoRR, 2024)

LLM4GRN: Discovering Causal Gene Regulatory Networks with LLMs - Evaluation through Synthetic Data Generation. - Tejumade Afonja; Ivaxi Sheth; Ruta Binkyte; Waqar Hanif; Thomas Ulas; Matthias Becker 003; Mario Fritz (CoRR, 2024)

In-Context Experience Replay Facilitates Safety Red-Teaming of Text-to-Image Diffusion Models. - Zhi-Yi Chin; Kuan-Chen Mu; Mario Fritz; Pin-Yu Chen; Wei-Chen Chiu (CoRR, 2024)

BiCert: A Bilinear Mixed Integer Programming Formulation for Precise Certified Bounds Against Data Poisoning Attacks. - Tobias Lorenz 002; Marta Kwiatkowska; Mario Fritz (CoRR, 2024)

FedLAP-DP: Federated Learning by Sharing Differentially Private Loss Approximations. - Hui-Po Wang; Dingfan Chen; Raouf Kerkouche; Mario Fritz (Proc. Priv. Enhancing Technol., 2024)

A Unified View of Differentially Private Deep Generative Modeling. - Dingfan Chen; Raouf Kerkouche; Mario Fritz (Trans. Mach. Learn. Res., 2024)

B-Cos Alignment for Inherently Interpretable CNNs and Vision Transformers. - Moritz Böhle; Navdeeppal Singh; Mario Fritz; Bernt Schiele (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Medical Multimodal Model Stealing Attacks via Adversarial Domain Alignment. - Yaling Shen; Zhixiong Zhuang; Kun Yuan 004; Maria-Irina Nicolae; Nassir Navab; Nicolas Padoy; Mario Fritz (AAAI, 2025)

Balancing Diversity and Risk in LLM Sampling: How to Select Your Method and Parameter for Open-Ended Text Generation. - Yuxuan Zhou 004; Margret Keuper; Mario Fritz (ACL (1), 2025)

A Theory of Response Sampling in LLMs: Part Descriptive and Part Prescriptive. - Sarath Sivaprasad; Pramod Kaushik; Sahar Abdelnabi; Mario Fritz (ACL (1), 2025)

Exploring the Potential of LLMs for Code Deobfuscation. - David Beste; Grégoire Menguy; Hossein Hajipour; Mario Fritz; Antonio Emanuele Cinà; Sébastien Bardin; Thorsten Holz; Thorsten Eisenhofer; Lea Schönherr (DIMVA (1), 2025)

DocMIA: Document-Level Membership Inference Attacks against DocVQA Models. - Khanh Nguyen; Raouf Kerkouche; Mario Fritz; Dimosthenis Karatzas (ICLR, 2025)

Can LLMs Separate Instructions From Data? And What Do We Even Mean By That? - Egor Zverev; Sahar Abdelnabi; Soroush Tabesh; Mario Fritz; Christoph H. Lampert (ICLR, 2025)

CausalGraph2LLM: Evaluating LLMs for Causal Queries. - Ivaxi Sheth; Bahare Fatemi; Mario Fritz (NAACL (Findings), 2025)

Get My Drift? Catching LLM Task Drift with Activation Deltas. - Sahar Abdelnabi; Aideen Fay; Giovanni Cherubin; Ahmed Salem 001; Mario Fritz; Andrew Paverd (SaTML, 2025)

Certifiably Robust Malware Detectors by Design. - Pierre-François Gimenez; Sarath Sivaprasad; Mario Fritz (SEC (2), 2025)

DP-2Stage: Adapting Language Models as Differentially Private Tabular Data Generators. - Tejumade Afonja; Hui-Po Wang; Raouf Kerkouche; Mario Fritz (Trans. Mach. Learn. Res., 2025)

NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA. - Marlon Tobaben; Mohamed Ali Souibgui; Rubèn Tito; Khanh Nguyen; Raouf Kerkouche; Kangsoo Jung; Joonas Jälkö; Lei Kang; Andrey Barsky; Vincent Poulain D'Andecy; Aurélie Joseph; Aashiq Muhamed; et al. (Trans. Mach. Learn. Res., 2025)

Fundamental Risks in the Current Deployment of General-Purpose AI Models: What Have We (Not) Learnt From Cybersecurity? - Mario Fritz (CoRR, 2025)

COMIX: Compositional Explanations using Prototypes. - Sarath Sivaprasad; Dmitry Kangin; Plamen Angelov 001; Mario Fritz (CoRR, 2025)

Safety is Essential for Responsible Open-Ended Systems. - Ivaxi Sheth; Jan Wehner; Sahar Abdelnabi; Ruta Binkyte; Mario Fritz (CoRR, 2025)

MaxSup: Overcoming Representation Collapse in Label Smoothing. - Yuxuan Zhou 004; Heng Li; Zhi-Qi Cheng; Xudong Yan; Mario Fritz; Margret Keuper (CoRR, 2025)

Taxonomy, Opportunities, and Challenges of Representation Engineering for Large Language Models. - Jan Wehner; Sahar Abdelnabi; Daniel Tan; David Krueger 001; Mario Fritz (CoRR, 2025)

Causality Is Key to Understand and Balance Multiple Goals in Trustworthy ML and Foundation Models. - Ruta Binkyte; Ivaxi Sheth; Zhijing Jin 001; Mohammad Havaei; Bernhard Schölkopf; Mario Fritz (CoRR, 2025)

ProxyPrompt: Securing System Prompts against Prompt Extraction Attacks. - Zhixiong Zhuang; Maria-Irina Nicolae; Hui-Po Wang; Mario Fritz (CoRR, 2025)

Stealix: Model Stealing via Prompt Evolution. - Zhixiong Zhuang; Hui-Po Wang; Maria-Irina Nicolae; Mario Fritz (CoRR, 2025)

ProtocolLLM: RTL Benchmark for SystemVerilog Generation of Communication Protocols. - Arnav Sheth; Ivaxi Sheth; Mario Fritz (CoRR, 2025)

Pixel-level Certified Explanations via Randomized Smoothing. - Alaa Anani; Tobias Lorenz 002; Mario Fritz; Bernt Schiele (CoRR, 2025)

Deepfake Detection that Generalizes Across Benchmarks. - Andrii Yermakov; Jan Cech; Jiri Matas; Mario Fritz (CoRR, 2025)