Yue Gao

13 papers A* 3Journal 6Unranked 4
YearRankTypeTitle / Venue / Authors
2025 — conf
SEA: Shareable and Explainable Attribution for Query-Based Black-Box Attacks.
SaTML
Yue Gao, Ilia Shumailov, Kassem Fawaz
2025 — conf
Supply-Chain Attacks in Machine Learning Frameworks.
MLSys
Yue Gao, Ilia Shumailov, Kassem Fawaz
2023 J jnl
Human-Producible Adversarial Examples.
CoRR
David Khachaturov, Yue Gao, Ilia Shumailov, Robert Mullins, Ross J. Anderson, Kassem Fawaz
2023 J jnl
SEA: Shareable and Explainable Attribution for Query-based Black-box Attacks.
CoRR
Yue Gao, Ilia Shumailov, Kassem Fawaz
2022 J jnl
Analyzing the Security of the Business Collaboration Platform App Model.
CoRR
Yunang Chen, Yue Gao, Nick Ceccio, Rahul Chatterjee, Kassem Fawaz, Earlence Fernandes
2022 A* conf
Experimental Security Analysis of the App Model in Business Collaboration Platforms.
USENIX Security Symposium
Yunang Chen, Yue Gao, Nick Ceccio, Rahul Chatterjee, Kassem Fawaz, Earlence Fernandes
2022 — conf
I Know Your Triggers: Defending Against Textual Backdoor Attacks with Benign Backdoor Augmentation.
MILCOM
Yue Gao, Jack W. Stokes, Manoj Ajith Prasad, Andrew T. Marshall, Kassem Fawaz, Emre Kiciman
2022 A* conf
On the Limitations of Stochastic Pre-processing Defenses.
NeurIPS
Yue Gao, Ilia Shumailov, Kassem Fawaz, Nicolas Papernot
2022 J jnl
On the Limitations of Stochastic Pre-processing Defenses.
CoRR
Yue Gao, Ilia Shumailov, Kassem Fawaz, Nicolas Papernot
2022 A* conf
Rethinking Image-Scaling Attacks: The Interplay Between Vulnerabilities in Machine Learning Systems.
ICML
Yue Gao, Ilia Shumailov, Kassem Fawaz
2021 J jnl
Scale-Adv: A Joint Attack on Image-Scaling and Machine Learning Classifiers.
CoRR
Yue Gao, Kassem Fawaz
2020 J jnl
Analyzing Accuracy Loss in Randomized Smoothing Defenses.
CoRR
Yue Gao, Harrison Rosenberg, Kassem Fawaz, Somesh Jha, Justin Hsu
2018 — conf
Variational Autoencoder for Low Bit-rate Image Compression.
CVPR Workshops
Lei Zhou, Chunlei Cai, Yue Gao, Sanbao Su, Junmin Wu