Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning

15 December 2017

Papers citing "Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning"

50 / 337 papers shown

Title
Imperceptible and Multi-channel Backdoor Attack against Deep Neural Networks Mingfu Xue S. Ni Ying-Chang Wu Yushu Zhang Jian Wang Weiqiang Liu AAML 32 13 0 31 Jan 2022
Backdoors Stuck At The Frontdoor: Multi-Agent Backdoor Attacks That Backfire Siddhartha Datta N. Shadbolt AAML 32 7 0 28 Jan 2022
Identifying a Training-Set Attack's Target Using Renormalized Influence Estimation Zayd Hammoudeh Daniel Lowd TDI 21 28 0 25 Jan 2022
Hiding Behind Backdoors: Self-Obfuscation Against Generative Models Siddhartha Datta N. Shadbolt SILM AAML AI4CE 25 2 0 24 Jan 2022
FedComm: Federated Learning as a Medium for Covert Communication Dorjan Hitaj Giulio Pagnotta Briland Hitaj Fernando Perez-Cruz L. Mancini FedML 32 10 0 21 Jan 2022
Dangerous Cloaking: Natural Trigger based Backdoor Attacks on Object Detectors in the Physical World Hua Ma Yinshan Li Yansong Gao A. Abuadbba Zhi-Li Zhang Anmin Fu Hyoungshick Kim S. Al-Sarawi N. Surya Derek Abbott 21 34 0 21 Jan 2022
Post-Training Detection of Backdoor Attacks for Two-Class and Multi-Attack Scenarios Zhen Xiang David J. Miller G. Kesidis AAML 28 47 0 20 Jan 2022
Towards Adversarial Evaluations for Inexact Machine Unlearning Shashwat Goel Ameya Prabhu Amartya Sanyal Ser-Nam Lim Philip Torr Ponnurangam Kumaraguru AAML ELM MU 29 47 0 17 Jan 2022
SparseFed: Mitigating Model Poisoning Attacks in Federated Learning with Sparsification Ashwinee Panda Saeed Mahloujifar A. Bhagoji Supriyo Chakraborty Prateek Mittal FedML AAML 14 84 0 12 Dec 2021
SoK: Anti-Facial Recognition Technology Emily Wenger Shawn Shan Haitao Zheng Ben Y. Zhao PICV 32 13 0 08 Dec 2021
SHAPr: An Efficient and Versatile Membership Privacy Risk Metric for Machine Learning Vasisht Duddu S. Szyller Nadarajah Asokan 29 12 0 04 Dec 2021
FIBA: Frequency-Injection based Backdoor Attack in Medical Image Analysis Yu Feng Benteng Ma Jing Zhang Shanshan Zhao Yong-quan Xia Dacheng Tao AAML 45 84 0 02 Dec 2021
Adversarial Attacks Against Deep Generative Models on Data: A Survey Hui Sun Tianqing Zhu Zhiqiu Zhang Dawei Jin Wanlei Zhou AAML 37 42 0 01 Dec 2021
The Impact of Data Distribution on Fairness and Robustness in Federated Learning Mustafa Safa Ozdayi Murat Kantarcioglu FedML OOD 21 4 0 29 Nov 2021
Going Grayscale: The Road to Understanding and Improving Unlearnable Examples Zhuoran Liu Zhengyu Zhao A. Kolmus Tijn Berns Twan van Laarhoven Tom Heskes Martha Larson AAML 39 6 0 25 Nov 2021
Towards Practical Deployment-Stage Backdoor Attack on Deep Neural Networks Xiangyu Qi Tinghao Xie Ruizhe Pan Jifeng Zhu Yong-Liang Yang Kai Bu AAML 33 57 0 25 Nov 2021
Backdoor Attack through Frequency Domain Tong Wang Yuan Yao Feng Xu Shengwei An Hanghang Tong Ting Wang AAML 24 33 0 22 Nov 2021
TnT Attacks! Universal Naturalistic Adversarial Patches Against Deep Neural Network Systems Bao Gia Doan Minhui Xue Shiqing Ma Ehsan Abbasnejad D. Ranasinghe AAML 41 53 0 19 Nov 2021
Revisiting Methods for Finding Influential Examples Karthikeyan K Anders Søgaard TDI 14 30 0 08 Nov 2021
LTD: Low Temperature Distillation for Robust Adversarial Training Erh-Chung Chen Che-Rung Lee AAML 24 26 0 03 Nov 2021
AEVA: Black-box Backdoor Detection Using Adversarial Extreme Value Analysis Junfeng Guo Ang Li Cong Liu AAML 59 74 0 28 Oct 2021
Adversarial Neuron Pruning Purifies Backdoored Deep Models Dongxian Wu Yisen Wang AAML 22 275 0 27 Oct 2021
Semantic Host-free Trojan Attack Haripriya Harikumar Kien Do Santu Rana Sunil R. Gupta Svetha Venkatesh 19 1 0 26 Oct 2021
Anti-Backdoor Learning: Training Clean Models on Poisoned Data Yige Li X. Lyu Nodens Koren Lingjuan Lyu Bo-wen Li Xingjun Ma OnRL 31 321 0 22 Oct 2021
Detecting Backdoor Attacks Against Point Cloud Classifiers Zhen Xiang David J. Miller Siheng Chen Xi Li G. Kesidis 3DPC AAML 40 15 0 20 Oct 2021
Multi-Trigger-Key: Towards Multi-Task Privacy Preserving In Deep Learning Ren Wang Zhe Xu Alfred Hero 27 0 0 06 Oct 2021
BadPre: Task-agnostic Backdoor Attacks to Pre-trained NLP Foundation Models Kangjie Chen Yuxian Meng Xiaofei Sun Shangwei Guo Tianwei Zhang Jiwei Li Chun Fan SILM 25 106 0 06 Oct 2021
Enhancing Model Robustness and Fairness with Causality: A Regularization Approach Zhao Wang Kai Shu A. Culotta OOD 21 14 0 03 Oct 2021
FooBaR: Fault Fooling Backdoor Attack on Neural Network Training J. Breier Xiaolu Hou Martín Ochoa Jesus Solano SILM AAML 39 8 0 23 Sep 2021
SoK: Machine Learning Governance Varun Chandrasekaran Hengrui Jia Anvith Thudi Adelin Travers Mohammad Yaghini Nicolas Papernot 38 16 0 20 Sep 2021
Hard to Forget: Poisoning Attacks on Certified Machine Unlearning Neil G. Marchant Benjamin I. P. Rubinstein Scott Alfeld MU AAML 22 69 0 17 Sep 2021
Check Your Other Door! Creating Backdoor Attacks in the Frequency Domain Hasan Hammoud Guohao Li AAML 18 13 0 12 Sep 2021
Adversarial Parameter Defense by Multi-Step Risk Minimization Zhiyuan Zhang Ruixuan Luo Xuancheng Ren Qi Su Liangyou Li Xu Sun AAML 25 6 0 07 Sep 2021
How to Inject Backdoors with Better Consistency: Logit Anchoring on Clean Data Zhiyuan Zhang Lingjuan Lyu Weiqiang Wang Lichao Sun Xu Sun 21 35 0 03 Sep 2021
Backdoor Attacks on Pre-trained Models by Layerwise Weight Poisoning Linyang Li Demin Song Xiaonan Li Jiehang Zeng Ruotian Ma Xipeng Qiu 22 134 0 31 Aug 2021
Quantization Backdoors to Deep Learning Commercial Frameworks Hua Ma Huming Qiu Yansong Gao Zhi-Li Zhang A. Abuadbba Minhui Xue Anmin Fu Jiliang Zhang S. Al-Sarawi Derek Abbott MQ 38 19 0 20 Aug 2021
TRAPDOOR: Repurposing backdoors to detect dataset bias in machine learning-based genomic analysis Esha Sarkar Michail Maniatakos 32 3 0 14 Aug 2021
BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning Jinyuan Jia Yupei Liu Neil Zhenqiang Gong SILM SSL 26 151 0 01 Aug 2021
Can You Hear It? Backdoor Attacks via Ultrasonic Triggers Stefanos Koffas Jing Xu Mauro Conti S. Picek AAML 19 66 0 30 Jul 2021
Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning Akshay Mehra B. Kailkhura Pin-Yu Chen Jihun Hamm AAML 30 22 0 08 Jul 2021
Data Poisoning Won't Save You From Facial Recognition Evani Radiya-Dixit Sanghyun Hong Nicholas Carlini Florian Tramèr AAML PICV 15 57 0 28 Jun 2021
Adversarial Examples Make Strong Poisons Liam H. Fowl Micah Goldblum Ping Yeh-Chiang Jonas Geiping Wojtek Czaja Tom Goldstein SILM 26 132 0 21 Jun 2021
Poisoning and Backdooring Contrastive Learning Nicholas Carlini Andreas Terzis 41 156 0 17 Jun 2021
Sleeper Agent: Scalable Hidden Trigger Backdoors for Neural Networks Trained from Scratch Hossein Souri Liam H. Fowl Ramalingam Chellappa Micah Goldblum Tom Goldstein SILM 31 123 0 16 Jun 2021
Machine Learning with Electronic Health Records is vulnerable to Backdoor Trigger Attacks Byunggill Joe Akshay Mehra I. Shin Jihun Hamm 9 9 0 15 Jun 2021
Poisoning Deep Reinforcement Learning Agents with In-Distribution Triggers C. Ashcraft Kiran Karra 17 22 0 14 Jun 2021
Topological Detection of Trojaned Neural Networks Songzhu Zheng Yikai Zhang H. Wagner Mayank Goswami Chao Chen AAML 29 40 0 11 Jun 2021
Turn the Combination Lock: Learnable Textual Backdoor Attacks via Word Substitution Fanchao Qi Yuan Yao Sophia Xu Zhiyuan Liu Maosong Sun SILM 22 126 0 11 Jun 2021
Defending Against Backdoor Attacks in Natural Language Generation Xiaofei Sun Xiaoya Li Yuxian Meng Xiang Ao Fei Wu Jiwei Li Tianwei Zhang AAML SILM 31 47 0 03 Jun 2021
A BIC-based Mixture Model Defense against Data Poisoning Attacks on Classifiers Xi Li David J. Miller Zhen Xiang G. Kesidis AAML 16 0 0 28 May 2021