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20232025
most citedDP-AdamBC: Your DP-Adam Is Actually DP-SGD (Unless You Apply Bias Correction)

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cs.LG2024

Adaptive Randomized Smoothing: Certified Adversarial Robustness for Multi-Step Defences

Saiyue Lyu, Shadab Shaikh, Frederick Shpilevskiy +2

We propose Adaptive Randomized Smoothing (ARS) to certify the predictions of our test-time adaptive models against adversarial examples. ARS extends the analysis of randomized smoo…

cs.LG2023★ 1 cited

DP-AdamBC: Your DP-Adam Is Actually DP-SGD (Unless You Apply Bias Correction)

Qiaoyue Tang, Frederick Shpilevskiy, Mathias Lécuyer

The Adam optimizer is a popular choice in contemporary deep learning, due to its strong empirical performance. However we observe that in privacy sensitive scenarios, the tradition…