Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review

21 July 2020

Papers citing "Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review"

48 / 48 papers shown

Title
Natural Reflection Backdoor Attack on Vision Language Model for Autonomous Driving Ming Liu Siyuan Liang Koushik Howlader L. Wang Dacheng Tao Wensheng Zhang AAML 26 0 0 09 May 2025
A Survey on Unlearnable Data Jiahao Li Yiqiang Chen Yunbing Xing Yang Gu Xiangyuan Lan AAML 55 0 0 30 Mar 2025
Ten Challenging Problems in Federated Foundation Models Tao Fan Hanlin Gu Xuemei Cao Chee Seng Chan Qian Chen ... Y. Zhang Xiaojin Zhang Zhenzhe Zheng Lixin Fan Qiang Yang FedML 81 4 0 14 Feb 2025
FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint Shuo Shao Haozhe Zhu Hongwei Yao Yiming Li Tianwei Zhang Z. Qin Kui Ren 140 0 0 28 Jan 2025
DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders Sizai Hou Songze Li Duanyi Yao AAML 70 0 0 25 Nov 2024
Attention Tracker: Detecting Prompt Injection Attacks in LLMs Kuo-Han Hung Ching-Yun Ko Ambrish Rawat I-Hsin Chung Winston H. Hsu Pin-Yu Chen 49 7 0 01 Nov 2024
Counter Denial of Service for Next-Generation Networks within the Artificial Intelligence and Post-Quantum Era Saleh Darzi Attila A. Yavuz AAML 29 2 0 08 Aug 2024
DLP: towards active defense against backdoor attacks with decoupled learning process Zonghao Ying Bin Wu AAML 44 6 0 18 Jun 2024
Imperceptible Rhythm Backdoor Attacks: Exploring Rhythm Transformation for Embedding Undetectable Vulnerabilities on Speech Recognition Wenhan Yao Jiangkun Yang yongqiang He Jia Liu Weiping Wen 38 1 0 16 Jun 2024
Prototypical Self-Explainable Models Without Re-training Srishti Gautam Ahcène Boubekki Marina M.-C. Höhne Michael C. Kampffmeyer 26 2 0 13 Dec 2023
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems Guangjing Wang Ce Zhou Yuanda Wang Bocheng Chen Hanqing Guo Qiben Yan AAML SILM 55 3 0 20 Nov 2023
Beyond Detection: Unveiling Fairness Vulnerabilities in Abusive Language Models Yueqing Liang Lu Cheng Ali Payani Kai Shu 20 3 0 15 Nov 2023
On the Proactive Generation of Unsafe Images From Text-To-Image Models Using Benign Prompts Yixin Wu Ning Yu Michael Backes Yun Shen Yang Zhang DiffM 51 8 0 25 Oct 2023
Adversarial Evasion Attacks Practicality in Networks: Testing the Impact of Dynamic Learning Mohamed el Shehaby Ashraf Matrawy AAML 22 7 0 08 Jun 2023
Avoid Adversarial Adaption in Federated Learning by Multi-Metric Investigations T. Krauß Alexandra Dmitrienko AAML 16 4 0 06 Jun 2023
Randomized Kaczmarz in Adversarial Distributed Setting Longxiu Huang Xia Li Deanna Needell 11 2 0 24 Feb 2023
Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective Baoyuan Wu Zihao Zhu Li Liu Qingshan Liu Zhaofeng He Siwei Lyu AAML 44 21 0 19 Feb 2023
Backdoor Learning for NLP: Recent Advances, Challenges, and Future Research Directions Marwan Omar SILM AAML 25 20 0 14 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 57 5 0 03 Feb 2023
Vertical Federated Learning: Taxonomies, Threats, and Prospects Qun Li Chandra Thapa Lawrence Ong Yifeng Zheng Hua Ma S. Çamtepe Anmin Fu Yan Gao FedML 36 10 0 03 Feb 2023
Selective Amnesia: On Efficient, High-Fidelity and Blind Suppression of Backdoor Effects in Trojaned Machine Learning Models Rui Zhu Di Tang Siyuan Tang XiaoFeng Wang Haixu Tang AAML FedML 29 13 0 09 Dec 2022
Transferable Graph Backdoor Attack Shuiqiao Yang Bao Gia Doan Paul Montague O. Vel Tamas Abraham S. Çamtepe D. Ranasinghe S. Kanhere AAML 34 36 0 21 Jun 2022
CASSOCK: Viable Backdoor Attacks against DNN in The Wall of Source-Specific Backdoor Defences Shang Wang Yansong Gao Anmin Fu Zhi-Li Zhang Yuqing Zhang W. Susilo Dongxi Liu AAML 23 10 0 31 May 2022
Automation Slicing and Testing for in-App Deep Learning Models Hao Wu Yuhang Gong Xiaopeng Ke Hanzhong Liang Minghao Li Fengyuan Xu Yunxin Liu Sheng Zhong 41 1 0 15 May 2022
A Temporal-Pattern Backdoor Attack to Deep Reinforcement Learning Yinbo Yu Jiajia Liu Shouqing Li Ke Huang Xudong Feng AAML 28 11 0 05 May 2022
Sniper Backdoor: Single Client Targeted Backdoor Attack in Federated Learning Gorka Abad Servio Paguada Oguzhan Ersoy S. Picek Víctor Julio Ramírez-Durán A. Urbieta FedML 16 6 0 16 Mar 2022
Low-Loss Subspace Compression for Clean Gains against Multi-Agent Backdoor Attacks Siddhartha Datta N. Shadbolt AAML 21 6 0 07 Mar 2022
Backdoors Stuck At The Frontdoor: Multi-Agent Backdoor Attacks That Backfire Siddhartha Datta N. Shadbolt AAML 24 7 0 28 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 16 34 0 21 Jan 2022
Robust and Privacy-Preserving Collaborative Learning: A Comprehensive Survey Shangwei Guo Xu Zhang Feiyu Yang Tianwei Zhang Yan Gan Tao Xiang Yang Liu FedML 18 9 0 19 Dec 2021
Spinning Language Models: Risks of Propaganda-As-A-Service and Countermeasures Eugene Bagdasaryan Vitaly Shmatikov SILM AAML 22 75 0 09 Dec 2021
Anomaly Localization in Model Gradients Under Backdoor Attacks Against Federated Learning Z. Bilgin FedML AAML 17 1 0 29 Nov 2021
Backdoor Pre-trained Models Can Transfer to All Lujia Shen S. Ji Xuhong Zhang Jinfeng Li Jing Chen Jie Shi Chengfang Fang Jianwei Yin Ting Wang AAML SILM 31 117 0 30 Oct 2021
Check Your Other Door! Creating Backdoor Attacks in the Frequency Domain Hasan Hammoud Bernard Ghanem AAML 18 13 0 12 Sep 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 30 19 0 20 Aug 2021
TRAPDOOR: Repurposing backdoors to detect dataset bias in machine learning-based genomic analysis Esha Sarkar Michail Maniatakos 24 3 0 14 Aug 2021
Spinning Sequence-to-Sequence Models with Meta-Backdoors Eugene Bagdasaryan Vitaly Shmatikov SILM AAML 33 8 0 22 Jul 2021
RBNN: Memory-Efficient Reconfigurable Deep Binary Neural Network with IP Protection for Internet of Things Huming Qiu Hua Ma Zhi-Li Zhang Yifeng Zheng Anmin Fu Pan Zhou Yansong Gao Derek Abbott S. Al-Sarawi MQ 11 9 0 09 May 2021
Backdoor Attack in the Physical World Yiming Li Tongqing Zhai Yong Jiang Zhifeng Li Shutao Xia 13 107 0 06 Apr 2021
TOP: Backdoor Detection in Neural Networks via Transferability of Perturbation Todd P. Huster E. Ekwedike SILM 8 19 0 18 Mar 2021
EX-RAY: Distinguishing Injected Backdoor from Natural Features in Neural Networks by Examining Differential Feature Symmetry Yingqi Liu Guangyu Shen Guanhong Tao Zhenting Wang Shiqing Ma X. Zhang AAML 22 8 0 16 Mar 2021
Mitigating backdoor attacks in LSTM-based Text Classification Systems by Backdoor Keyword Identification Chuanshuai Chen Jiazhu Dai SILM 55 126 0 11 Jul 2020
Synthetic Observational Health Data with GANs: from slow adoption to a boom in medical research and ultimately digital twins? Jeremy Georges-Filteau Elisa Cirillo SyDa AI4CE 28 17 0 27 May 2020
Backdooring and Poisoning Neural Networks with Image-Scaling Attacks Erwin Quiring Konrad Rieck AAML 46 70 0 19 Mar 2020
Clean-Label Backdoor Attacks on Video Recognition Models Shihao Zhao Xingjun Ma Xiang Zheng James Bailey Jingjing Chen Yu-Gang Jiang AAML 185 252 0 06 Mar 2020
Model-Reuse Attacks on Deep Learning Systems Yujie Ji Xinyang Zhang S. Ji Xiapu Luo Ting Wang SILM AAML 134 186 0 02 Dec 2018
SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems Edward Chou Florian Tramèr Giancarlo Pellegrino AAML 168 287 0 02 Dec 2018
Analyzing Federated Learning through an Adversarial Lens A. Bhagoji Supriyo Chakraborty Prateek Mittal S. Calo FedML 177 1,032 0 29 Nov 2018