Pictorial structures for object recognition and part labeling in drawings. - Amir Sadovnik; Tsuhan Chen (ICIP, 2011)

Image description with a goal: Building efficient discriminating expressions for images. - Amir Sadovnik; Yi-I Chiu; Noah Snavely; Shimon Edelman; Tsuhan Chen (CVPR, 2012)

Hierarchical object groups for scene classification. - Amir Sadovnik; Tsuhan Chen (ICIP, 2012)

It's Not Polite to Point: Describing People with Uncertain Attributes. - Amir Sadovnik; Andrew C. Gallagher; Tsuhan Chen (CVPR, 2013)

Not Everybody's Special: Using Neighbors in Referring Expressions with Uncertain Attributes. - Amir Sadovnik; Andrew C. Gallagher; Tsuhan Chen (CVPR Workshops, 2013)

Spoken Attributes: Mixing Binary and Relative Attributes to Say the Right Thing. - Amir Sadovnik; Andrew C. Gallagher; Devi Parikh; Tsuhan Chen (ICCV, 2013)

A visual dictionary attack on Picture Passwords. - Amir Sadovnik; Tsuhan Chen (ICIP, 2013)

A mixed bag of emotions: Model, predict, and transfer emotion distributions. - Kuan-Chuan Peng; Tsuhan Chen; Amir Sadovnik; Andrew C. Gallagher (CVPR, 2015)

Where do emotions come from? Predicting the Emotion Stimuli Map. - Kuan-Chuan Peng; Amir Sadovnik; Andrew C. Gallagher; Tsuhan Chen (ICIP, 2016)

Image level color classification for colorblind assistance. - Thomas L. Fuller; Amir Sadovnik (ICIP, 2017)

Finding Your Lookalike: Measuring Face Similarity Rather Than Face Identity. - Amir Sadovnik; Wassim Gharbi; Thanh Vu; Andrew C. Gallagher (CVPR Workshops, 2018)

Unaligned Sequence Similarity Search Using Deep Learning. - James K. Senter; Taylor M. Royalty; Andrew D. Steen; Amir Sadovnik (BIBM, 2019)

Reinforcement Learning for Elimination of Reentrant Spiral Waves in Excitable Media. - James K. Senter; Dan Wilson; Amir Sadovnik (ACC, 2020)

Measuring the Impact of Memory Replay in Training Pacman Agents using Reinforcement Learning. - Fabian Fallas-Moya; Jeremiah Duncan; Tabitha K. Samuel; Amir Sadovnik (CLEI, 2021)

TopKConv: Increased Adversarial Robustness Through Deeper Interpretability. - Henry Eigen; Amir Sadovnik (ICMLA, 2021)

Size Does Matter: Overcoming Limitations during Training when using a Feature Pyramid Network. - Fabian Fallas-Moya; Manfred Gonzalez-Hernandez; Amir Sadovnik (ICMLA, 2021)

A Simulated Experiment to Explore Robotic Dialogue Strategies for People with Dementia. - Fengpei Yuan; Amir Sadovnik; Ran Zhang 001; Devin Casenhiser; Eun Jin Paek; Si On Yoon; Xiaopeng Zhao (CoRR, 2021)

MSDU-Net: A Multi-Scale Dilated U-Net for Blur Detection. - Xiao Xiao; Fan Yang; Amir Sadovnik (Sensors, 2021)

Monocular Depth Estimation with Adaptive Geometric Attention. - Taher Naderi; Amir Sadovnik; Jason P. Hayward; Hairong Qi 001 (WACV, 2022)

Heterogeneous Attention Nested U-Shaped Network for Blur Detection. - Wenliang Guo; Xiao Xiao; Yilong Hui; Wenming Yang; Amir Sadovnik (IEEE Signal Process. Lett., 2022)

Object Detection in Pineapple Fields Drone Imagery Using Few Shot Learning and the Segment Anything Model. - Fabian Fallas-Moya; Saúl Calderón Ramírez; Amir Sadovnik; Hairong Qi 001 (ICMLA, 2023)

Semantic Stealth: Crafting Covert Adversarial Patches for Sentiment Classifiers Using Large Language Models. - Camila Roa; Maria Mahbub; Sudarshan Srinivasan; Edmon Begoli; Amir Sadovnik (AISec@CCS, 2024)

Assessing Membership Inference Attacks under Distribution Shifts. - Yichuan Shi; Olivera Kotevska; Viktor Reshniak; Amir Sadovnik (IEEE Big Data, 2024)

ConFUSE: Confusion-based Federated Unlearning with Salience Exploration. - Syed Irfan Ali Meerza; Amir Sadovnik; Jian Liu 001 (ISVLSI, 2024)

Towards a High Fidelity Training Environment for Autonomous Cyber Defense Agents. - Sean Oesch; Amul Chaulagain; Brian Weber; Matthew Dixson; Amir Sadovnik; Benjamin Roberson; Cory L. Watson; Phillipe Austria (CSET @ USENIX Security Symposium, 2024)

Redefining "Hallucination" in LLMs: Towards a psychology-informed framework for mitigating misinformation. - Elijah Berberette; Jack Hutchins; Amir Sadovnik (CoRR, 2024)

The Path To Autonomous Cyber Defense. - Sean Oesch; Phillipe Austria; Amul Chaulagain; Brian Weber; Cory L. Watson; Matthew Dixson; Amir Sadovnik (CoRR, 2024)

On the Abuse and Detection of Polyglot Files. - Luke Koch; Sean Oesch; Amul Chaulagain; Jared Dixon; Matthew Dixon; Mike Huettal; Amir Sadovnik; Cory L. Watson; Brian Weber; Jacob Hartman; Richard Patulski (CoRR, 2024)

Hiding-in-Plain-Sight (HiPS) Attack on CLIP for Targetted Object Removal from Images. - Arka Daw; Megan Hong-Thanh Chung; Maria Mahbub; Amir Sadovnik (CoRR, 2024)

Advancing NLP Security by Leveraging LLMs as Adversarial Engines. - Sudarshan Srinivasan; Maria Mahbub; Amir Sadovnik (CoRR, 2024)

AI-generated Image Detection: Passive or Watermark? - Moyang Guo; Yuepeng Hu; Zhengyuan Jiang; Zeyu Li; Amir Sadovnik; Arka Daw; Neil Gong 001 (CoRR, 2024)

Does it matter if empathic AI has no empathy? - Garriy Shteynberg; Jodi Halpern; Amir Sadovnik; Jon Garthoff; Anat Perry; Jessica Hay; Carlos Montemayor; Michael A. Olson; Tim L. Hulsey; Abrol Fairweather (Nat. Mac. Intell., 2024)

On the Abuse and Detection of Polyglot Files. - Luke Koch; Sean Oesch; Amir Sadovnik; Brian Weber; Amul Chaulagain; Matthew Dixson; Jared Dixon; Mike Huettel; Cory L. Watson; Jacob Hartman; Richard Patulski (WWW, 2025)

The Path to Autonomous Cyberdefense. - Sean Oesch; Phillipe Austria; Amul Chaulagain; Brian Weber; Cory L. Watson; Matthew Dixson; Amir Sadovnik (IEEE Secur. Priv., 2025)

Reliability, Resiliency, and Responsibility: A Framework for Addressing Security Concerns in Large Language Models. - Linsey Passarella; Edmon Begoli; Colin Smith; Amir Sadovnik (SN Comput. Sci., 2025)