Rethinking the Backdoor Attacks' Triggers: A Frequency Perspective

7 April 2021

Yi Zeng

Z. Morley Mao

Papers citing "Rethinking the Backdoor Attacks' Triggers: A Frequency Perspective"

27 / 27 papers shown

Title
UIBDiffusion: Universal Imperceptible Backdoor Attack for Diffusion Models Yuning Han Bingyin Zhao Rui Chu Feng Luo Biplab Sikdar Yingjie Lao DiffM AAML 146 1 0 16 Dec 2024
PriRoAgg: Achieving Robust Model Aggregation with Minimum Privacy Leakage for Federated Learning Sizai Hou Songze Li Tayyebeh Jahani-Nezhad Giuseppe Caire FedML 93 3 0 12 Jul 2024
Towards Sample-specific Backdoor Attack with Clean Labels via Attribute Trigger Yiming Li Mingyan Zhu Junfeng Guo Tao Wei Shu-Tao Xia Zhan Qin AAML 85 1 0 03 Dec 2023
DeepSweep: An Evaluation Framework for Mitigating DNN Backdoor Attacks using Data Augmentation Han Qiu Yi Zeng Shangwei Guo Tianwei Zhang Meikang Qiu B. Thuraisingham AAML 62 191 0 13 Dec 2020
Certified Robustness of Nearest Neighbors against Data Poisoning and Backdoor Attacks Jinyuan Jia Yupei Liu Xiaoyu Cao Neil Zhenqiang Gong AAML 72 74 0 07 Dec 2020
Strong Data Augmentation Sanitizes Poisoning and Backdoor Attacks Without an Accuracy Tradeoff Eitan Borgnia Valeriia Cherepanova Liam H. Fowl Amin Ghiasi Jonas Geiping Micah Goldblum Tom Goldstein Arjun Gupta AAML 52 127 0 18 Nov 2020
Intrinsic Certified Robustness of Bagging against Data Poisoning Attacks Jinyuan Jia Xiaoyu Cao Neil Zhenqiang Gong SILM 48 130 0 11 Aug 2020
Deep Partition Aggregation: Provable Defense against General Poisoning Attacks Alexander Levine Soheil Feizi AAML 54 145 0 26 Jun 2020
Backdoor Attacks Against Deep Learning Systems in the Physical World Emily Wenger Josephine Passananti A. Bhagoji Yuanshun Yao Haitao Zheng Ben Y. Zhao AAML 50 200 0 25 Jun 2020
FaceHack: Triggering backdoored facial recognition systems using facial characteristics Esha Sarkar Hadjer Benkraouda Michail Maniatakos AAML 54 39 0 20 Jun 2020
Leveraging Frequency Analysis for Deep Fake Image Recognition Joel Frank Thorsten Eisenhofer Lea Schonherr Asja Fischer D. Kolossa Thorsten Holz 70 552 0 19 Mar 2020
Robust Anomaly Detection and Backdoor Attack Detection Via Differential Privacy Min Du R. Jia D. Song AAML 72 176 0 16 Nov 2019
SmoothFool: An Efficient Framework for Computing Smooth Adversarial Perturbations Ali Dabouei Sobhan Soleymani Fariborz Taherkhani J. Dawson Nasser M. Nasrabadi AAML 128 19 0 08 Oct 2019
Detecting AI Trojans Using Meta Neural Analysis Xiaojun Xu Qi Wang Huichen Li Nikita Borisov Carl A. Gunter Yue Liu 81 323 0 08 Oct 2019
Hidden Trigger Backdoor Attacks Aniruddha Saha Akshayvarun Subramanya Hamed Pirsiavash 81 623 0 30 Sep 2019
Invisible Backdoor Attacks on Deep Neural Networks via Steganography and Regularization Shaofeng Li Minhui Xue Benjamin Zi Hao Zhao Haojin Zhu Dali Kaafar 48 60 0 06 Sep 2019
TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems Wenbo Guo Lun Wang Masashi Sugiyama Min Du D. Song 68 229 0 02 Aug 2019
STRIP: A Defence Against Trojan Attacks on Deep Neural Networks Yansong Gao Chang Xu Derui Wang Shiping Chen Damith C. Ranasinghe Surya Nepal AAML 75 809 0 18 Feb 2019
SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems Edward Chou Florian Tramèr Giancarlo Pellegrino AAML 208 292 0 02 Dec 2018
Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering Bryant Chen Wilka Carvalho Wenjie Li Heiko Ludwig Benjamin Edwards Chengyao Chen Ziqiang Cao Biplav Srivastava AAML 82 795 0 09 Nov 2018
Spectral Signatures in Backdoor Attacks Brandon Tran Jerry Li Aleksander Madry AAML 88 788 0 01 Nov 2018
Detection of Adversarial Training Examples in Poisoning Attacks through Anomaly Detection Andrea Paudice Luis Muñoz-González András Gyorgy Emil C. Lupu AAML 58 146 0 08 Feb 2018
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning Xinyun Chen Chang-rui Liu Yue Liu Kimberly Lu D. Song AAML SILM 120 1,837 0 15 Dec 2017
Neural Trojans Yuntao Liu Yang Xie Ankur Srivastava AAML 49 353 0 03 Oct 2017
BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Tianyu Gu Brendan Dolan-Gavitt S. Garg SILM 111 1,772 0 22 Aug 2017
Understanding Black-box Predictions via Influence Functions Pang Wei Koh Percy Liang TDI 192 2,882 0 14 Mar 2017
Universal adversarial perturbations Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi Omar Fawzi P. Frossard AAML 133 2,527 0 26 Oct 2016