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Single Image Backdoor Inversion via Robust Smoothed Classifiers

1 March 2023

Mingjie Sun

Zico Kolter

AAML

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Papers citing "Single Image Backdoor Inversion via Robust Smoothed Classifiers"

23 / 23 papers shown

Title
Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace Jinluan Yang Anke Tang Didi Zhu Zhengyu Chen Li Shen Leilei Gan MoMe AAML 132 7 0 17 Oct 2024
Planting Undetectable Backdoors in Machine Learning Models S. Goldwasser Michael P. Kim Vinod Vaikuntanathan Or Zamir AAML 45 73 0 14 Apr 2022
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 283 30,149 0 01 Mar 2022
Trigger Hunting with a Topological Prior for Trojan Detection Xiaoling Hu Xiaoyu Lin Michael Cogswell Yi Yao Susmit Jha Chao Chen AAML 47 46 0 15 Oct 2021
Towards Understanding the Generative Capability of Adversarially Robust Classifiers Yao Zhu Jiacheng Ma Jiacheng Sun Zewei Chen Rongxin Jiang Zhenguo Li AAML 61 24 0 20 Aug 2021
Poisoning and Backdooring Contrastive Learning Nicholas Carlini Andreas Terzis 58 166 0 17 Jun 2021
Backdoor Attacks on Self-Supervised Learning Aniruddha Saha Ajinkya Tejankar Soroush Abbasi Koohpayegani Hamed Pirsiavash SSL AAML 50 109 0 21 May 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 250 7,933 0 11 May 2021
TOP: Backdoor Detection in Neural Networks via Transferability of Perturbation Todd P. Huster E. Ekwedike SILM 61 19 0 18 Mar 2021
Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks Yunfei Liu Xingjun Ma James Bailey Feng Lu AAML 96 516 0 05 Jul 2020
Blind Backdoors in Deep Learning Models Eugene Bagdasaryan Vitaly Shmatikov AAML FedML SILM 112 305 0 08 May 2020
Defending Neural Backdoors via Generative Distribution Modeling Ximing Qiao Yukun Yang H. Li AAML 49 183 0 10 Oct 2019
Hidden Trigger Backdoor Attacks Aniruddha Saha Akshayvarun Subramanya Hamed Pirsiavash 85 626 0 30 Sep 2019
TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems Wenbo Guo Lun Wang Masashi Sugiyama Min Du Basel Alomair 71 230 0 02 Aug 2019
Certified Adversarial Robustness via Randomized Smoothing Jeremy M. Cohen Elan Rosenfeld J. Zico Kolter AAML 152 2,051 0 08 Feb 2019
Robustness May Be at Odds with Accuracy Dimitris Tsipras Shibani Santurkar Logan Engstrom Alexander Turner Aleksander Madry AAML 106 1,783 0 30 May 2018
Certified Robustness to Adversarial Examples with Differential Privacy Mathias Lécuyer Vaggelis Atlidakis Roxana Geambasu Daniel J. Hsu Suman Jana SILM AAML 96 939 0 09 Feb 2018
Adversarial Patch Tom B. Brown Dandelion Mané Aurko Roy Martín Abadi Justin Gilmer AAML 85 1,097 0 27 Dec 2017
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning Xinyun Chen Chang-rui Liu Yue Liu Kimberly Lu Basel Alomair AAML SILM 143 1,852 0 15 Dec 2017
Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning Battista Biggio Fabio Roli AAML 130 1,410 0 08 Dec 2017
BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Tianyu Gu Brendan Dolan-Gavitt S. Garg SILM 127 1,782 0 22 Aug 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 312 12,117 0 19 Jun 2017
Poisoning Attacks against Support Vector Machines Battista Biggio B. Nelson Pavel Laskov AAML 115 1,596 0 27 Jun 2012