Gradient Methods Provably Converge to Non-Robust Networks

Gradient Methods Provably Converge to Non-Robust Networks

9 February 2022

Gal Vardi

Papers citing "Gradient Methods Provably Converge to Non-Robust Networks"

5 / 5 papers shown

Title
Fundamental Limits of Membership Inference Attacks on Machine Learning Models Eric Aubinais Elisabeth Gassiat Pablo Piantanida MIACV 43 2 0 20 Oct 2023
On the Implicit Bias in Deep-Learning Algorithms Gal Vardi FedML AI4CE 25 72 0 26 Aug 2022
Shortcut Learning of Large Language Models in Natural Language Understanding Mengnan Du Fengxiang He Na Zou Dacheng Tao Xia Hu KELM OffRL 19 82 0 25 Aug 2022
On Margin Maximization in Linear and ReLU Networks Gal Vardi Ohad Shamir Nathan Srebro 40 28 0 06 Oct 2021
Adversarial examples from computational constraints Sébastien Bubeck Eric Price Ilya P. Razenshteyn AAML 60 230 0 25 May 2018