Bo Li
Orcid: 0000-0003-4883-7267Affiliations:
- University of Chicago, Department of Computer Science, IL, USA
- University of Illinois at Urbana-Champaign, Department of Computer Science, IL, USA
- University of California, Berkeley, CA, USA (former)
- Vanderbilt University, Nashville, TN, USA (PhD 2016)
- Tongji University, Shanghai, China (former)
According to our database1,
Bo Li
authored at least 326 papers
between 2009 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
Proc. VLDB Endow., July, 2024
AIR-Bench 2024: A Safety Benchmark Based on Risk Categories from Regulations and Policies.
CoRR, 2024
CoRR, 2024
BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning.
CoRR, 2024
R<sup>2</sup>-Guard: Robust Reasoning Enabled LLM Guardrail via Knowledge-Enhanced Logical Reasoning.
CoRR, 2024
Consistency Purification: Effective and Efficient Diffusion Purification towards Certified Robustness.
CoRR, 2024
AI Risk Categorization Decoded (AIR 2024): From Government Regulations to Corporate Policies.
CoRR, 2024
BEEAR: Embedding-based Adversarial Removal of Safety Backdoors in Instruction-tuned Language Models.
CoRR, 2024
SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal Behaviors.
CoRR, 2024
CoRR, 2024
Visual-RolePlay: Universal Jailbreak Attack on MultiModal Large Language Models via Role-playing Image Characte.
CoRR, 2024
CoRR, 2024
COMMIT: Certifying Robustness of Multi-Sensor Fusion Systems against Semantic Attacks.
CoRR, 2024
CoRR, 2024
Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks.
CoRR, 2024
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
ACE: A Model Poisoning Attack on Contribution Evaluation Methods in Federated Learning.
Proceedings of the 33rd USENIX Security Symposium, 2024
Proceedings of the IEEE Symposium on Security and Privacy, 2024
Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM.
Proceedings of the IEEE Conference on Secure and Trustworthy Machine Learning, 2024
Proceedings of the IEEE Conference on Secure and Trustworthy Machine Learning, 2024
Proceedings of the 31st Annual Network and Distributed System Security Symposium, 2024
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Effects of Exponential Gaussian Distribution on (Double Sampling) Randomized Smoothing.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic Circuits.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Perada: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
POSTER: Game of Trojans: Adaptive Adversaries Against Output-based Trojaned-Model Detectors.
Proceedings of the 19th ACM Asia Conference on Computer and Communications Security, 2024
Proceedings of the 19th ACM Asia Conference on Computer and Communications Security, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
IEEE Trans. Knowl. Data Eng., August, 2023
J. Inf. Secur. Appl., March, 2023
Trans. Mach. Learn. Res., 2023
A Survey on Safety-Critical Driving Scenario Generation - A Methodological Perspective.
IEEE Trans. Intell. Transp. Syst., 2023
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses.
IEEE Trans. Pattern Anal. Mach. Intell., 2023
CoRR, 2023
Invariant-Feature Subspace Recovery: A New Class of Provable Domain Generalization Algorithms.
CoRR, 2023
CoRR, 2023
CoRR, 2023
PerAda: Parameter-Efficient and Generalizable Federated Learning Personalization with Guarantees.
CoRR, 2023
CoRR, 2023
Proceedings of the 32nd USENIX Security Symposium, 2023
Proceedings of the 32nd USENIX Security Symposium, 2023
Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023
Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023
Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023
Proceedings of the 2023 IEEE Conference on Secure and Trustworthy Machine Learning, 2023
Proceedings of the 2023 IEEE Conference on Secure and Trustworthy Machine Learning, 2023
FaShapley: Fast and Approximated Shapley Based Model Pruning Towards Certifiably Robust DNNs.
Proceedings of the 2023 IEEE Conference on Secure and Trustworthy Machine Learning, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
WordScape: a Pipeline to extract multilingual, visually rich Documents with Layout Annotations from Web Crawl Data.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Incentives in Federated Learning: Equilibria, Dynamics, and Mechanisms for Welfare Maximization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AI.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning Attacks.
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023
Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
SCCS: Semantics-Consistent Cross-domain Summarization via Optimal Transport Alignment.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
Towards Certifying the Asymmetric Robustness for Neural Networks: Quantification and Applications.
IEEE Trans. Dependable Secur. Comput., 2022
Toward Efficiently Evaluating the Robustness of Deep Neural Networks in IoT Systems: A GAN-Based Method.
IEEE Internet Things J., 2022
DetectS ec: Evaluating the robustness of object detection models to adversarial attacks.
Int. J. Intell. Syst., 2022
CoRR, 2022
CoRR, 2022
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability.
CoRR, 2022
Uncovering the Connection Between Differential Privacy and Certified Robustness of Federated Learning against Poisoning Attacks.
CoRR, 2022
CoRR, 2022
CoRR, 2022
An Empirical Exploration of Cross-domain Alignment between Language and Electroencephalogram.
CoRR, 2022
CoRR, 2022
Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM.
CoRR, 2022
Is Vertical Logistic Regression Privacy-Preserving? A Comprehensive Privacy Analysis and Beyond.
CoRR, 2022
CoRR, 2022
Test Against High-Dimensional Uncertainties: Accelerated Evaluation of Autonomous Vehicles with Deep Importance Sampling.
CoRR, 2022
COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks.
CoRR, 2022
Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization.
CoRR, 2022
Proceedings of the Uncertainty in Artificial Intelligence, 2022
Proceedings of the 43rd IEEE Symposium on Security and Privacy, 2022
LINKTELLER: Recovering Private Edges from Graph Neural Networks via Influence Analysis.
Proceedings of the 43rd IEEE Symposium on Security and Privacy, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
VF-PS: How to Select Important Participants in Vertical Federated Learning, Efficiently and Securely?
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022
GeoECG: Data Augmentation via Wasserstein Geodesic Perturbation for Robust Electrocardiogram Prediction.
Proceedings of the Machine Learning for Healthcare Conference, 2022
The Fourth Workshop on Adversarial Learning Methods for Machine Learning and Data Mining (AdvML 2022).
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Certifiable Evaluation for Autonomous Vehicle Perception Systems using Deep Importance Sampling (Deep IS).
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
Proceedings of the IEEE 33rd International Symposium on Software Reliability Engineering, 2022
Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization.
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
How to Steer Your Adversary: Targeted and Efficient Model Stealing Defenses with Gradient Redirection.
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing.
Proceedings of the Tenth International Conference on Learning Representations, 2022
COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
CausalAF: Causal Autoregressive Flow for Safety-Critical Driving Scenario Generation.
Proceedings of the Conference on Robot Learning, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
PhysioMTL: Personalizing Physiological Patterns using Optimal Transport Multi-Task Regression.
Proceedings of the Conference on Health, Inference, and Learning, 2022
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022
2021
Remote. Sens., 2021
Multimodal Safety-Critical Scenarios Generation for Decision-Making Algorithms Evaluation.
IEEE Robotics Autom. Lett., 2021
Stability-Based Analysis and Defense against Backdoor Attacks on Edge Computing Services.
IEEE Netw., 2021
Robust 3D mesh zero-watermarking based on spherical coordinate and Skewness measurement.
Multim. Tools Appl., 2021
MEC-Enabled Hierarchical Emotion Recognition and Perturbation-Aware Defense in Smart Cities.
IEEE Internet Things J., 2021
Compromised ACC vehicles can degrade current mixed-autonomy traffic performance while remaining stealthy against detection.
CoRR, 2021
Towards Efficiently Evaluating the Robustness of Deep Neural Networks in IoT Systems: A GAN-based Method.
CoRR, 2021
CausalAF: Causal Autoregressive Flow for Goal-Directed Safety-Critical Scenes Generation.
CoRR, 2021
CoRR, 2021
TRS: Transferability Reduced Ensemble via Encouraging Gradient Diversity and Model Smoothness.
CoRR, 2021
Proceedings of the 42nd IEEE Symposium on Security and Privacy, 2021
Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks.
Proceedings of the 42nd IEEE Symposium on Security and Privacy, 2021
TRS: Transferability Reduced Ensemble via Promoting Gradient Diversity and Model Smoothness.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
Proceedings of the NeurIPS 2022 Competition Track, 2021
G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Third Workshop on Adversarial Learning Methods for Machine Learning and Data Mining (AdvML 2021).
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation.
Proceedings of the 38th International Conference on Machine Learning, 2021
Uncovering the Connections Between Adversarial Transferability and Knowledge Transferability.
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective.
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
Can Shape Structure Features Improve Model Robustness under Diverse Adversarial Settings?
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the EWSN '21: Proceedings of the 2021 International Conference on Embedded Wireless Systems and Networks, 2021
Scalability vs. Utility: Do We Have To Sacrifice One for the Other in Data Importance Quantification?
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation.
Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021
Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021
REFIT: A Unified Watermark Removal Framework For Deep Learning Systems With Limited Data.
Proceedings of the ASIA CCS '21: ACM Asia Conference on Computer and Communications Security, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
Multim. Tools Appl., 2020
IET Comput. Vis., 2020
Optimal Provable Robustness of Quantum Classification via Quantum Hypothesis Testing.
CoRR, 2020
Global Convergence and Induced Kernels of Gradient-Based Meta-Learning with Neural Nets.
CoRR, 2020
Robust Deep Reinforcement Learning against Adversarial Perturbations on Observations.
CoRR, 2020
Reinforcement-Learning based Portfolio Management with Augmented Asset Movement Prediction States.
CoRR, 2020
Proceedings of the 2020 IEEE Symposium on Security and Privacy, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 3rd IEEE Conference on Multimedia Information Processing and Retrieval, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020
Controllable Time-Delay Transformer for Real-Time Punctuation Prediction and Disfluency Detection.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
SemanticAdv: Generating Adversarial Examples via Attribute-Conditioned Image Editing.
Proceedings of the Computer Vision - ECCV 2020, 2020
The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
Proceedings of the CCS '20: 2020 ACM SIGSAC Conference on Computer and Communications Security, 2020
Reinforcement-Learning Based Portfolio Management with Augmented Asset Movement Prediction States.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
ACM Trans. Priv. Secur., 2019
Proc. VLDB Endow., 2019
CoRR, 2019
SemanticAdv: Generating Adversarial Examples via Attribute-conditional Image Editing.
CoRR, 2019
CoRR, 2019
CoRR, 2019
CoRR, 2019
Gotta Catch 'Em All: Using Concealed Trapdoors to Detect Adversarial Attacks on Neural Networks.
CoRR, 2019
CoRR, 2019
Proceedings of the 26th IEEE International Conference on Software Analysis, 2019
Improving Robustness of ML Classifiers against Realizable Evasion Attacks Using Conserved Features.
Proceedings of the 28th USENIX Security Symposium, 2019
Proceedings of the 2019 IEEE Symposium on Security and Privacy, 2019
Proceedings of the 26th Annual Network and Distributed System Security Symposium, 2019
Proceedings of the 28th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
2018
ACM Trans. Knowl. Discov. Data, 2018
CoRR, 2018
CoRR, 2018
The Helmholtz Method: Using Perceptual Compression to Reduce Machine Learning Complexity.
CoRR, 2018
AUSERA: Large-Scale Automated Security Risk Assessment of Global Mobile Banking Apps.
CoRR, 2018
DeepGauge: Comprehensive and Multi-Granularity Testing Criteria for Gauging the Robustness of Deep Learning Systems.
CoRR, 2018
Automated poisoning attacks and defenses in malware detection systems: An adversarial machine learning approach.
Comput. Secur., 2018
Proceedings of the 12th USENIX Workshop on Offensive Technologies, 2018
From Patching Delays to Infection Symptoms: Using Risk Profiles for an Early Discovery of Vulnerabilities Exploited in the Wild.
Proceedings of the 27th USENIX Security Symposium, 2018
Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning.
Proceedings of the 2018 IEEE Symposium on Security and Privacy, 2018
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018
Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering, 2018
Proceedings of the 29th IEEE International Symposium on Software Reliability Engineering, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018
Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation.
Proceedings of the Computer Vision - ECCV 2018, 2018
Practical Black-Box Attacks on Deep Neural Networks Using Efficient Query Mechanisms.
Proceedings of the Computer Vision - ECCV 2018, 2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
Proceedings of the 2018 Annual American Control Conference, 2018
Orthogonal Weight Normalization: Solution to Optimization Over Multiple Dependent Stiefel Manifolds in Deep Neural Networks.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
IEEE Trans. Knowl. Data Eng., 2017
Int. J. Netw. Secur., 2017
Orthogonal Weight Normalization: Solution to Optimization over Multiple Dependent Stiefel Manifolds in Deep Neural Networks.
CoRR, 2017
Autom. Softw. Eng., 2017
Proceedings of the Seventh ACM Conference on Data and Application Security and Privacy, 2017
Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security, 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Renovating Contaminative Image Archives Based on Patch Propagation and Adaptive Confidence Collation.
IEEE Trans. Circuits Syst. Video Technol., 2016
Optimizing annotation resources for natural language de-identification via a game theoretic framework.
J. Biomed. Informatics, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the AMIA 2016, 2016
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015
Scalable Optimization of Randomized Operational Decisions in Adversarial Classification Settings.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015
2014
IEEE Multim., 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Proceedings of the Medical Imaging 2014: Image Processing, 2014
Proceedings of the Medical Imaging 2014: Image Processing, 2014
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014
2013
Secur. Commun. Networks, 2013
Notes on "Authentication protocol using an identifier in an ad hoc network environment".
Math. Comput. Model., 2013
Aryabhata remainder theorem-based non-iterative electronic lottery mechanism with robustness.
IET Inf. Secur., 2013
2012
Proceedings of the 10th International Workshop on Intelligent Solutions in Embedded Systems, 2012
2009
Proceedings of the International Conference on Networked Computing and Advanced Information Management, 2009