Backdoor Defense through Self-Supervised and Generative Learning

2 September 2024

Siniša Šegvić

Papers citing "Backdoor Defense through Self-Supervised and Generative Learning"

31 / 31 papers shown

Title
CBD: A Certified Backdoor Detector Based on Local Dominant Probability Zhen Xiang Zidi Xiong Bo Li AAML 105 14 0 26 Oct 2023
Towards Stable Backdoor Purification through Feature Shift Tuning Rui Min Zeyu Qin Li Shen Minhao Cheng AAML 86 22 0 03 Oct 2023
Beating Backdoor Attack at Its Own Game Min Liu Alberto L. Sangiovanni-Vincentelli Xiangyu Yue AAML 119 12 0 28 Jul 2023
Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared Adversarial Examples Shaokui Wei Ruotong Wang H. Zha Baoyuan Wu TPM 74 38 0 20 Jul 2023
Reconstructive Neuron Pruning for Backdoor Defense Yige Li X. Lyu Xingjun Ma Nodens Koren Lingjuan Lyu Yue Liu Yugang Jiang AAML 73 44 0 24 May 2023
Distilling Cognitive Backdoor Patterns within an Image Hanxun Huang Xingjun Ma S. Erfani James Bailey AAML 76 26 0 26 Jan 2023
Backdoor Defense via Decoupling the Training Process Kunzhe Huang Yiming Li Baoyuan Wu Zhan Qin Kui Ren AAML FedML 56 194 0 05 Feb 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 473 7,819 0 11 Nov 2021
Anti-Backdoor Learning: Training Clean Models on Poisoned Data Yige Li X. Lyu Nodens Koren Lingjuan Lyu Yue Liu Xingjun Ma OnRL 83 336 0 22 Oct 2021
Certified Patch Robustness via Smoothed Vision Transformers Hadi Salman Saachi Jain Eric Wong Aleksander Mkadry AAML 106 59 0 11 Oct 2021
Poisoning and Backdooring Contrastive Learning Nicholas Carlini Andreas Terzis 58 166 0 17 Jun 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 967 29,810 0 26 Feb 2021
Input-Aware Dynamic Backdoor Attack A. Nguyen Anh Tran AAML 74 433 0 16 Oct 2020
Backdoor Learning: A Survey Yiming Li Yong Jiang Zhifeng Li Shutao Xia AAML 131 608 0 17 Jul 2020
Shortcut Learning in Deep Neural Networks Robert Geirhos J. Jacobsen Claudio Michaelis R. Zemel Wieland Brendel Matthias Bethge Felix Wichmann 214 2,059 0 16 Apr 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 375 18,866 0 13 Feb 2020
Label-Consistent Backdoor Attacks Alexander Turner Dimitris Tsipras Aleksander Madry AAML 74 389 0 05 Dec 2019
Defending Neural Backdoors via Generative Distribution Modeling Ximing Qiao Yukun Yang H. Li AAML 49 183 0 10 Oct 2019
Input complexity and out-of-distribution detection with likelihood-based generative models Joan Serrà David Álvarez Vicencc Gómez Olga Slizovskaia José F. Núñez Jordi Luque OODD 146 277 0 25 Sep 2019
A new Backdoor Attack in CNNs by training set corruption without label poisoning Mauro Barni Kassem Kallas B. Tondi AAML 112 358 0 12 Feb 2019
Do Deep Generative Models Know What They Don't Know? Eric T. Nalisnick Akihiro Matsukawa Yee Whye Teh Dilan Görür Balaji Lakshminarayanan OOD 71 759 0 22 Oct 2018
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 300 3,141 0 09 Jul 2018
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction Leland McInnes John Healy James Melville 195 9,473 0 09 Feb 2018
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning Xinyun Chen Chang-rui Liu Yue Liu Kimberly Lu Basel Alomair AAML SILM 143 1,853 0 15 Dec 2017
Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning Battista Biggio Fabio Roli AAML 130 1,409 0 08 Dec 2017
VGGFace2: A dataset for recognising faces across pose and age Qiong Cao Li Shen Weidi Xie Omkar M. Parkhi Andrew Zisserman CVBM 100 2,635 0 23 Oct 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 315 12,131 0 19 Jun 2017
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 786 36,881 0 25 Aug 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 275 78 0 26 May 2016
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 318 4,196 0 21 May 2015
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 282 14,963 1 21 Dec 2013