Tightening the Approximation Error of Adversarial Risk with Auto Loss Function Search

9 November 2021

Papers citing "Tightening the Approximation Error of Adversarial Risk with Auto Loss Function Search"

6 / 6 papers shown

Title
MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework Ping Guo Cheng Gong Xi Victoria Lin Fei Liu Zhichao Lu Qingfu Zhang Zhenkun Wang AAML 29 0 0 13 Jan 2025
Understanding the Error in Evaluating Adversarial Robustness Pengfei Xia Ziqiang Li Hongjing Niu Bin Li AAML ELM 19 4 0 07 Jan 2021
Constructing Unrestricted Adversarial Examples with Generative Models Yang Song Rui Shu Nate Kushman Stefano Ermon GAN AAML 160 276 0 21 May 2018
Generating Natural Language Adversarial Examples M. Alzantot Yash Sharma Ahmed Elgohary Bo-Jhang Ho Mani B. Srivastava Kai-Wei Chang AAML 228 863 0 21 Apr 2018
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 260 5,046 0 05 Nov 2016
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 253 2,899 0 04 Nov 2016