SEA: Shareable and Explainable Attribution for Query-Based Black-Box Attacks.
Proceedings of the IEEE Conference on Secure and Trustworthy Machine Learning, 2025
Human-Producible Adversarial Examples.
CoRR, 2023
Analyzing the Security of the Business Collaboration Platform App Model.
CoRR, 2022
Experimental Security Analysis of the App Model in Business Collaboration Platforms.
Proceedings of the 31st USENIX Security Symposium, 2022
On the Limitations of Stochastic Pre-processing Defenses.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
I Know Your Triggers: Defending Against Textual Backdoor Attacks with Benign Backdoor Augmentation.
Proceedings of the IEEE Military Communications Conference, 2022
Rethinking Image-Scaling Attacks: The Interplay Between Vulnerabilities in Machine Learning Systems.
Proceedings of the International Conference on Machine Learning, 2022
Scale-Adv: A Joint Attack on Image-Scaling and Machine Learning Classifiers.
CoRR, 2021
Analyzing Accuracy Loss in Randomized Smoothing Defenses.
CoRR, 2020
Variational Autoencoder for Low Bit-rate Image Compression.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018