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07/30/2023
Theoretically Principled Trade-off for Stateful Defenses against Query-Based Black-Box Attacks
Adversarial examples threaten the integrity of machine learning systems ...
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03/11/2023
Investigating Stateful Defenses Against Black-Box Adversarial Examples
Defending machine-learning (ML) models against white-box adversarial att...
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02/11/2022
Towards Adversarially Robust Deepfake Detection: An Ensemble Approach
Detecting deepfakes is an important problem, but recent work has shown t...
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04/05/2021
Jekyll: Attacking Medical Image Diagnostics using Deep Generative Models
Advances in deep neural networks (DNNs) have shown tremendous promise in...
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03/07/2021
T-Miner: A Generative Approach to Defend Against Trojan Attacks on DNN-based Text Classification
Deep Neural Network (DNN) classifiers are known to be vulnerable to Troj...
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03/07/2021