Gradient Shaping: Enhancing Backdoor Attack Against Reverse Engineering

29 January 2023

Papers citing "Gradient Shaping: Enhancing Backdoor Attack Against Reverse Engineering"

7 / 7 papers shown

Title
Rethinking Backdoor Detection Evaluation for Language Models Jun Yan Wenjie Jacky Mo Xiang Ren Robin Jia ELM 40 1 0 31 Aug 2024
BppAttack: Stealthy and Efficient Trojan Attacks against Deep Neural Networks via Image Quantization and Contrastive Adversarial Learning Zhenting Wang Juan Zhai Shiqing Ma AAML 126 97 0 26 May 2022
Label-Smoothed Backdoor Attack Minlong Peng Zidi Xiong Mingming Sun Ping Li AAML 28 3 0 19 Feb 2022
Manipulating SGD with Data Ordering Attacks Ilia Shumailov Zakhar Shumaylov Dmitry Kazhdan Yiren Zhao Nicolas Papernot Murat A. Erdogdu Ross J. Anderson AAML 112 90 0 19 Apr 2021
A Closer Look at Accuracy vs. Robustness Yao-Yuan Yang Cyrus Rashtchian Hongyang R. Zhang Ruslan Salakhutdinov Kamalika Chaudhuri OOD 66 26 0 05 Mar 2020
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition Hamed Karimi J. Nutini Mark W. Schmidt 130 1,198 0 16 Aug 2016
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 174 9,327 0 28 May 2015