Variational Autoencoder for Low Bit-rate Image Compression. - Lei Zhou; Chunlei Cai; Yue Gao 011; Sanbao Su; Junmin Wu (CVPR Workshops, 2018)

Analyzing Accuracy Loss in Randomized Smoothing Defenses. - Yue Gao 011; Harrison Rosenberg; Kassem Fawaz; Somesh Jha; Justin Hsu (CoRR, 2020)

Scale-Adv: A Joint Attack on Image-Scaling and Machine Learning Classifiers. - Yue Gao 011; Kassem Fawaz (CoRR, 2021)

Rethinking Image-Scaling Attacks: The Interplay Between Vulnerabilities in Machine Learning Systems. - Yue Gao 011; Ilia Shumailov; Kassem Fawaz (ICML, 2022)

I Know Your Triggers: Defending Against Textual Backdoor Attacks with Benign Backdoor Augmentation. - Yue Gao 011; Jack W. Stokes; Manoj Ajith Prasad; Andrew T. Marshall; Kassem Fawaz; Emre Kiciman (MILCOM, 2022)

On the Limitations of Stochastic Pre-processing Defenses. - Yue Gao 011; Ilia Shumailov; Kassem Fawaz; Nicolas Papernot (NeurIPS, 2022)

Experimental Security Analysis of the App Model in Business Collaboration Platforms. - Yunang Chen; Yue Gao 011; Nick Ceccio; Rahul Chatterjee 001; Kassem Fawaz; Earlence Fernandes (USENIX Security Symposium, 2022)

Analyzing the Security of the Business Collaboration Platform App Model. - Yunang Chen; Yue Gao 011; Nick Ceccio; Rahul Chatterjee 001; Kassem Fawaz; Earlence Fernandes (CoRR, 2022)

Human-Producible Adversarial Examples. - David Khachaturov; Yue Gao 011; Ilia Shumailov; Robert D. Mullins; Ross J. Anderson; Kassem Fawaz (CoRR, 2023)

SEA: Shareable and Explainable Attribution for Query-Based Black-Box Attacks. - Yue Gao 011; Ilia Shumailov; Kassem Fawaz (SaTML, 2025)