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05/15/2023
Training Neural Networks without Backpropagation: A Deeper Dive into the Likelihood Ratio Method
Backpropagation (BP) is the most important gradient estimation method fo...
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04/20/2023
Diversifying the High-level Features for better Adversarial Transferability
Given the great threat of adversarial attacks against Deep Neural Networ...
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01/30/2023
Improving Adversarial Transferability with Scheduled Step Size and Dual Example
Deep neural networks are widely known to be vulnerable to adversarial ex...
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07/11/2022
How Robust is your Fair Model? Exploring the Robustness of Diverse Fairness Strategies
With the introduction of machine learning in high-stakes decision making...
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12/13/2021
Triangle Attack: A Query-efficient Decision-based Adversarial Attack
Decision-based attack poses a severe threat to real-world applications s...
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02/06/2021
