Blind Backdoors in Deep Learning Models

8 May 2020

Papers citing "Blind Backdoors in Deep Learning Models"

50 / 162 papers shown

Title
Robust Backdoor Detection for Deep Learning via Topological Evolution Dynamics Xiaoxing Mo Yechao Zhang Leo Yu Zhang Wei Luo Nan Sun Shengshan Hu Shang Gao Yang Xiang AAML 24 15 0 05 Dec 2023
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 68 1 0 03 Dec 2023
Tabdoor: Backdoor Vulnerabilities in Transformer-based Neural Networks for Tabular Data Bart Pleiter Behrad Tajalli Stefanos Koffas Gorka Abad Jing Xu Martha Larson S. Picek LMTD AAML 40 1 0 13 Nov 2023
SoK: Memorisation in machine learning Dmitrii Usynin Moritz Knolle Georgios Kaissis 19 1 0 06 Nov 2023
A Survey on Federated Unlearning: Challenges, Methods, and Future Directions Ziyao Liu Yu Jiang Jiyuan Shen Minyi Peng Kwok-Yan Lam Xingliang Yuan Xiaoning Liu MU 34 44 0 31 Oct 2023
Label Poisoning is All You Need Rishi Jha J. Hayase Sewoong Oh AAML 22 28 0 29 Oct 2023
Nightshade: Prompt-Specific Poisoning Attacks on Text-to-Image Generative Models Shawn Shan Wenxin Ding Josephine Passananti Stanley Wu Haitao Zheng Ben Y. Zhao SILM DiffM 31 44 0 20 Oct 2023
FLTracer: Accurate Poisoning Attack Provenance in Federated Learning Xinyu Zhang Qingyu Liu Zhongjie Ba Yuan Hong Tianhang Zheng Feng Lin Liwang Lu Kui Ren AAML 34 10 0 20 Oct 2023
Demystifying Poisoning Backdoor Attacks from a Statistical Perspective Ganghua Wang Xun Xian Jayanth Srinivasa Ashish Kundu Xuan Bi Mingyi Hong Jie Ding 34 2 0 16 Oct 2023
Invisible Threats: Backdoor Attack in OCR Systems Mauro Conti Nicola Farronato Stefanos Koffas Luca Pajola S. Picek 32 1 0 12 Oct 2023
One-to-Multiple Clean-Label Image Camouflage (OmClic) based Backdoor Attack on Deep Learning Guohong Wang Hua Ma Yansong Gao A. Abuadbba Zhi-Li Zhang Wei Kang S. Al-Sarawi Gongxuan Zhang Derek Abbott AAML 19 6 0 07 Sep 2023
Everyone Can Attack: Repurpose Lossy Compression as a Natural Backdoor Attack Sze Jue Yang Q. Nguyen Chee Seng Chan Khoa D. Doan AAML DiffM 32 0 0 31 Aug 2023
BaDExpert: Extracting Backdoor Functionality for Accurate Backdoor Input Detection Tinghao Xie Xiangyu Qi Ping He Yiming Li Jiachen T. Wang Prateek Mittal AAML 23 9 0 23 Aug 2023
Backdoor Attacks against Voice Recognition Systems: A Survey Baochen Yan Jiahe Lan Zheng Yan AAML 30 8 0 23 Jul 2023
Efficient Backdoor Attacks for Deep Neural Networks in Real-world Scenarios Ziqiang Li Hong Sun Pengfei Xia Heng Li Beihao Xia Yi Wu Bin Li AAML 24 8 0 14 Jun 2023
A Proxy Attack-Free Strategy for Practically Improving the Poisoning Efficiency in Backdoor Attacks Ziqiang Li Hong Sun Pengfei Xia Beihao Xia Xue Rui Wei Zhang Qinglang Guo Bin Li AAML 32 8 0 14 Jun 2023
DHBE: Data-free Holistic Backdoor Erasing in Deep Neural Networks via Restricted Adversarial Distillation Zhicong Yan Shenghong Li Ruijie Zhao Yuan Tian Yuanyuan Zhao AAML 36 11 0 13 Jun 2023
Avoid Adversarial Adaption in Federated Learning by Multi-Metric Investigations T. Krauß Alexandra Dmitrienko AAML 27 4 0 06 Jun 2023
Covert Communication Based on the Poisoning Attack in Federated Learning Junchuan Liang Rong Wang FedML 32 1 0 02 Jun 2023
Versatile Backdoor Attack with Visible, Semantic, Sample-Specific, and Compatible Triggers Ruotong Wang Hongrui Chen Zihao Zhu Li Liu Baoyuan Wu DiffM 30 11 0 01 Jun 2023
Backdooring Neural Code Search Dongrui Liu Yuchen Chen Guanhong Tao Chunrong Fang Xiangyu Zhang Quanjun Zhang Bin Luo SILM 22 16 0 27 May 2023
Instance-Level Trojan Attacks on Visual Question Answering via Adversarial Learning in Neuron Activation Space Yuwei Sun H. Ochiai Jun Sakuma AAML 20 6 0 02 Apr 2023
Optimal Smoothing Distribution Exploration for Backdoor Neutralization in Deep Learning-based Traffic Systems Yueya Wang Wending Li Michail Maniatakos S. Jabari AAML 29 1 0 24 Mar 2023
Don't FREAK Out: A Frequency-Inspired Approach to Detecting Backdoor Poisoned Samples in DNNs Hasan Hammoud Adel Bibi Philip H. S. Torr Guohao Li AAML 35 5 0 23 Mar 2023
SSL-Cleanse: Trojan Detection and Mitigation in Self-Supervised Learning Mengxin Zheng Jiaqi Xue Zihao Wang Xun Chen Qian Lou Lei Jiang Xiaofeng Wang 26 11 0 16 Mar 2023
Single Image Backdoor Inversion via Robust Smoothed Classifiers Mingjie Sun Zico Kolter AAML 16 12 0 01 Mar 2023
FreeEagle: Detecting Complex Neural Trojans in Data-Free Cases Chong Fu Xuhong Zhang S. Ji Ting Wang Peng Lin Yanghe Feng Jianwei Yin AAML 35 10 0 28 Feb 2023
A semantic backdoor attack against Graph Convolutional Networks Jiazhu Dai Zhipeng Xiong AAML 32 8 0 28 Feb 2023
ASSET: Robust Backdoor Data Detection Across a Multiplicity of Deep Learning Paradigms Minzhou Pan Yi Zeng Lingjuan Lyu X. Lin R. Jia AAML 29 35 0 22 Feb 2023
Sneaky Spikes: Uncovering Stealthy Backdoor Attacks in Spiking Neural Networks with Neuromorphic Data Gorka Abad Oguzhan Ersoy S. Picek A. Urbieta AAML 23 17 0 13 Feb 2023
Mithridates: Auditing and Boosting Backdoor Resistance of Machine Learning Pipelines Eugene Bagdasaryan Vitaly Shmatikov AAML 24 2 0 09 Feb 2023
SoK: A Systematic Evaluation of Backdoor Trigger Characteristics in Image Classification Gorka Abad Jing Xu Stefanos Koffas Behrad Tajalli S. Picek Mauro Conti AAML 63 5 0 03 Feb 2023
BackdoorBox: A Python Toolbox for Backdoor Learning Yiming Li Mengxi Ya Yang Bai Yong Jiang Shutao Xia AAML 44 40 0 01 Feb 2023
Gradient Shaping: Enhancing Backdoor Attack Against Reverse Engineering Rui Zhu Di Tang Siyuan Tang Guanhong Tao Shiqing Ma Xiaofeng Wang Haixu Tang DD 20 3 0 29 Jan 2023
Distilling Cognitive Backdoor Patterns within an Image Hanxun Huang Xingjun Ma S. Erfani James Bailey AAML 31 24 0 26 Jan 2023
BDMMT: Backdoor Sample Detection for Language Models through Model Mutation Testing Jiali Wei Ming Fan Wenjing Jiao Wuxia Jin Ting Liu AAML 29 10 0 25 Jan 2023
Stealthy Backdoor Attack for Code Models Zhou Yang Bowen Xu Jie M. Zhang Hong Jin Kang Jieke Shi Junda He David Lo AAML 19 65 0 06 Jan 2023
"Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice Giovanni Apruzzese Hyrum S. Anderson Savino Dambra D. Freeman Fabio Pierazzi Kevin A. Roundy AAML 31 75 0 29 Dec 2022
Learned Systems Security R. Schuster Jinyi Zhou Thorsten Eisenhofer Paul Grubbs Nicolas Papernot AAML 6 2 0 20 Dec 2022
Flareon: Stealthy any2any Backdoor Injection via Poisoned Augmentation Tianrui Qin Xianghuan He Xitong Gao Yiren Zhao Kejiang Ye Chengjie Xu AAML 25 1 0 20 Dec 2022
ESTAS: Effective and Stable Trojan Attacks in Self-supervised Encoders with One Target Unlabelled Sample Jiaqi Xue Qiang Lou AAML 14 8 0 20 Nov 2022
Backdoor Attacks on Time Series: A Generative Approach Yujing Jiang Xingjun Ma S. Erfani James Bailey AAML AI4TS 25 12 0 15 Nov 2022
The Perils of Learning From Unlabeled Data: Backdoor Attacks on Semi-supervised Learning Virat Shejwalkar Lingjuan Lyu Amir Houmansadr AAML 27 10 0 01 Nov 2022
Private and Reliable Neural Network Inference Nikola Jovanović Marc Fischer Samuel Steffen Martin Vechev 16 14 0 27 Oct 2022
Multi-SpacePhish: Extending the Evasion-space of Adversarial Attacks against Phishing Website Detectors using Machine Learning Ying Yuan Giovanni Apruzzese Mauro Conti AAML 23 19 0 24 Oct 2022
Thinking Two Moves Ahead: Anticipating Other Users Improves Backdoor Attacks in Federated Learning Yuxin Wen Jonas Geiping Liam H. Fowl Hossein Souri Ramalingam Chellappa Micah Goldblum Tom Goldstein AAML SILM FedML 30 9 0 17 Oct 2022
Marksman Backdoor: Backdoor Attacks with Arbitrary Target Class Khoa D. Doan Yingjie Lao Ping Li 34 40 0 17 Oct 2022
Understanding Impacts of Task Similarity on Backdoor Attack and Detection Di Tang Rui Zhu Xiaofeng Wang Haixu Tang Yi Chen AAML 18 5 0 12 Oct 2022
ImpNet: Imperceptible and blackbox-undetectable backdoors in compiled neural networks Eleanor Clifford Ilia Shumailov Yiren Zhao Ross J. Anderson Robert D. Mullins 23 12 0 30 Sep 2022
Physical Adversarial Attack meets Computer Vision: A Decade Survey Hui Wei Hao Tang Xuemei Jia Zhixiang Wang Han-Bing Yu Zhubo Li Shiníchi Satoh Luc Van Gool Zheng Wang AAML 29 43 0 30 Sep 2022