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06/29/2023
Group-based Robustness: A General Framework for Customized Robustness in the Real World
Machine-learning models are known to be vulnerable to evasion attacks th...
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02/27/2023
Randomness in ML Defenses Helps Persistent Attackers and Hinders Evaluators
It is becoming increasingly imperative to design robust ML defenses. How...
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01/31/2023
Certified Robustness of Learning-based Static Malware Detectors
Certified defenses are a recent development in adversarial machine learn...
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01/28/2022
Any-Play: An Intrinsic Augmentation for Zero-Shot Coordination
Cooperative artificial intelligence with human or superhuman proficiency...
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12/28/2021
Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks
Minimal adversarial perturbations added to inputs have been shown to be ...
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12/19/2019
