Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses

18 December 2020

Chulin Xie

Papers citing "Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses"

50 / 148 papers shown

Title
MTL-UE: Learning to Learn Nothing for Multi-Task Learning Yi Yu Song Xia Siyuan Yang Chenqi Kong Wenhan Yang Shijian Lu Yap-Peng Tan Alex Chichung Kot 46 0 0 08 May 2025
Antidistillation Sampling Yash Savani Asher Trockman Zhili Feng Avi Schwarzschild Alexander Robey Marc Finzi J. Zico Kolter 46 0 0 17 Apr 2025
Data Poisoning in Deep Learning: A Survey Pinlong Zhao Weiyao Zhu Pengfei Jiao Di Gao Ou Wu AAML 39 0 0 27 Mar 2025
Prototype Guided Backdoor Defense Venkat Adithya Amula Sunayana Samavedam Saurabh Saini Avani Gupta Narayanan P J AAML 50 0 0 26 Mar 2025
SITA: Structurally Imperceptible and Transferable Adversarial Attacks for Stylized Image Generation Jingdan Kang Haoxin Yang Yan Cai Huaidong Zhang Xuemiao Xu Yong Du Shengfeng He AAML 46 0 0 25 Mar 2025
Detecting and Preventing Data Poisoning Attacks on AI Models Halima Ibrahim Kure Pradipta Sarkar Ahmed B. Ndanusa Augustine O. Nwajana AAML 43 0 0 12 Mar 2025
BDPFL: Backdoor Defense for Personalized Federated Learning via Explainable Distillation Chengcheng Zhu J. Zhang Di Wu Guodong Long FedML AAML 48 0 0 09 Mar 2025
Class-Conditional Neural Polarizer: A Lightweight and Effective Backdoor Defense by Purifying Poisoned Features Mingli Zhu Shaokui Wei Hongyuan Zha Baoyuan Wu AAML 44 0 0 23 Feb 2025
Commercial LLM Agents Are Already Vulnerable to Simple Yet Dangerous Attacks Ang Li Yin Zhou Vethavikashini Chithrra Raghuram Tom Goldstein Micah Goldblum AAML 83 7 0 12 Feb 2025
Adversarial ML Problems Are Getting Harder to Solve and to Evaluate Javier Rando Jie Zhang Nicholas Carlini F. Tramèr AAML ELM 61 3 0 04 Feb 2025
Decoding FL Defenses: Systemization, Pitfalls, and Remedies M. A. Khan Virat Shejwalkar Yasra Chandio Amir Houmansadr Fatima M. Anwar AAML 38 0 0 03 Feb 2025
Robust and Transferable Backdoor Attacks Against Deep Image Compression With Selective Frequency Prior Yi Yu Yufei Wang Wenhan Yang Lanqing Guo Shijian Lu Ling-yu Duan Yap-Peng Tan Alex C. Kot AAML 86 4 0 02 Dec 2024
What You See is Not What You Get: Neural Partial Differential Equations and The Illusion of Learning Arvind Mohan Ashesh Chattopadhyay Jonah Miller 99 0 0 22 Nov 2024
Uncovering, Explaining, and Mitigating the Superficial Safety of Backdoor Defense Rui Min Zeyu Qin Nevin L. Zhang Li Shen Minhao Cheng AAML 36 4 0 13 Oct 2024
Mitigating Memorization In Language Models Mansi Sakarvadia Aswathy Ajith Arham Khan Nathaniel Hudson Caleb Geniesse Kyle Chard Yaoqing Yang Ian Foster Michael W. Mahoney KELM MU 58 0 0 03 Oct 2024
Persistent Backdoor Attacks in Continual Learning Zhen Guo Abhinav Kumar R. Tourani AAML 29 3 0 20 Sep 2024
Flatness-aware Sequential Learning Generates Resilient Backdoors Hoang Pham The-Anh Ta Anh Tran Khoa D. Doan FedML AAML 34 0 0 20 Jul 2024
Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks Lukas Gosch Mahalakshmi Sabanayagam D. Ghoshdastidar Stephan Günnemann AAML 40 3 0 15 Jul 2024
Wicked Oddities: Selectively Poisoning for Effective Clean-Label Backdoor Attacks Quang H. Nguyen Nguyen Ngoc-Hieu The-Anh Ta Thanh Nguyen-Tang Kok-Seng Wong Hoang Thanh-Tung Khoa D. Doan AAML 33 2 0 15 Jul 2024
Data Poisoning Attacks in Intelligent Transportation Systems: A Survey Feilong Wang Xin Wang X. Ban AAML 24 7 0 06 Jul 2024
Distribution Learnability and Robustness Shai Ben-David Alex Bie Gautam Kamath Tosca Lechner 34 2 0 25 Jun 2024
Machine Unlearning Fails to Remove Data Poisoning Attacks Martin Pawelczyk Jimmy Z. Di Yiwei Lu Gautam Kamath Ayush Sekhari Seth Neel AAML MU 57 8 0 25 Jun 2024
AI Risk Management Should Incorporate Both Safety and Security Xiangyu Qi Yangsibo Huang Yi Zeng Edoardo Debenedetti Jonas Geiping ... Chaowei Xiao Bo-wen Li Dawn Song Peter Henderson Prateek Mittal AAML 51 11 0 29 May 2024
HiddenSpeaker: Generate Imperceptible Unlearnable Audios for Speaker Verification System Zhisheng Zhang Pengyang Huang AAML 29 3 0 24 May 2024
Nearest is Not Dearest: Towards Practical Defense against Quantization-conditioned Backdoor Attacks Boheng Li Yishuo Cai Haowei Li Feng Xue Zhifeng Li Yiming Li MQ AAML 35 20 0 21 May 2024
Purify Unlearnable Examples via Rate-Constrained Variational Autoencoders Yi Yu Yufei Wang Song Xia Wenhan Yang Shijian Lu Yap-Peng Tan A.C. Kot AAML 37 11 0 02 May 2024
Lazy Layers to Make Fine-Tuned Diffusion Models More Traceable Haozhe Liu Wentian Zhang Bing Li Bernard Ghanem Jürgen Schmidhuber DiffM WIGM AAML 33 1 0 01 May 2024
Defending against Data Poisoning Attacks in Federated Learning via User Elimination Nick Galanis AAML 33 2 0 19 Apr 2024
Generating Potent Poisons and Backdoors from Scratch with Guided Diffusion Hossein Souri Arpit Bansal Hamid Kazemi Liam H. Fowl Aniruddha Saha Jonas Geiping Andrew Gordon Wilson Rama Chellappa Tom Goldstein Micah Goldblum SILM DiffM 21 1 0 25 Mar 2024
Backdoor Secrets Unveiled: Identifying Backdoor Data with Optimized Scaled Prediction Consistency Soumyadeep Pal Yuguang Yao Ren Wang Bingquan Shen Sijia Liu AAML 36 8 0 15 Mar 2024
Mitigating Label Flipping Attacks in Malicious URL Detectors Using Ensemble Trees Ehsan Nowroozi Nada Jadalla Samaneh Ghelichkhani Alireza Jolfaei AAML 21 2 0 05 Mar 2024
Corrective Machine Unlearning Shashwat Goel Ameya Prabhu Philip H. S. Torr Ponnurangam Kumaraguru Amartya Sanyal OnRL 40 14 0 21 Feb 2024
Is my Data in your AI Model? Membership Inference Test with Application to Face Images Daniel DeAlcala Aythami Morales Gonzalo Mancera Julian Fierrez Ruben Tolosana J. Ortega-Garcia CVBM 26 7 0 14 Feb 2024
BadChain: Backdoor Chain-of-Thought Prompting for Large Language Models Zhen Xiang Fengqing Jiang Zidi Xiong Bhaskar Ramasubramanian Radha Poovendran Bo Li LRM SILM 42 38 0 20 Jan 2024
The Art of Deception: Robust Backdoor Attack using Dynamic Stacking of Triggers Orson Mengara AAML 43 3 0 03 Jan 2024
UltraClean: A Simple Framework to Train Robust Neural Networks against Backdoor Attacks Bingyin Zhao Yingjie Lao AAML 38 1 0 17 Dec 2023
Data and Model Poisoning Backdoor Attacks on Wireless Federated Learning, and the Defense Mechanisms: A Comprehensive Survey Yichen Wan Youyang Qu Wei Ni Yong Xiang Longxiang Gao Ekram Hossain AAML 49 33 0 14 Dec 2023
Defenses in Adversarial Machine Learning: A Survey Baoyuan Wu Shaokui Wei Mingli Zhu Meixi Zheng Zihao Zhu Mingda Zhang Hongrui Chen Danni Yuan Li Liu Qingshan Liu AAML 30 14 0 13 Dec 2023
An Ambiguity Measure for Recognizing the Unknowns in Deep Learning Roozbeh Yousefzadeh AAML UQCV 30 0 0 11 Dec 2023
Who Leaked the Model? Tracking IP Infringers in Accountable Federated Learning Shuyang Yu Junyuan Hong Yi Zeng Fei Wang Ruoxi Jia Jiayu Zhou FedML 24 9 0 06 Dec 2023
The Landscape of Modern Machine Learning: A Review of Machine, Distributed and Federated Learning Omer Subasi Oceane Bel Joseph Manzano Kevin J. Barker FedML OOD PINN 25 2 0 05 Dec 2023
Universal Backdoor Attacks Benjamin Schneider Nils Lukas Florian Kerschbaum SILM 27 4 0 30 Nov 2023
Effective Backdoor Mitigation in Vision-Language Models Depends on the Pre-training Objective Sahil Verma Gantavya Bhatt Avi Schwarzschild Soumye Singhal Arnav M. Das Chirag Shah John P Dickerson Jeff Bilmes J. Bilmes AAML 59 1 0 25 Nov 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 63 3 0 20 Nov 2023
From Trojan Horses to Castle Walls: Unveiling Bilateral Data Poisoning Effects in Diffusion Models Zhuoshi Pan Yuguang Yao Gaowen Liu Bingquan Shen H. V. Zhao Ramana Rao Kompella Sijia Liu DiffM AAML 25 2 0 04 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
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
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
Security Considerations in AI-Robotics: A Survey of Current Methods, Challenges, and Opportunities Subash Neupane Shaswata Mitra Ivan A. Fernandez Swayamjit Saha Sudip Mittal Jingdao Chen Nisha Pillai Shahram Rahimi 21 12 0 12 Oct 2023
Leveraging Diffusion-Based Image Variations for Robust Training on Poisoned Data Lukas Struppek Martin Hentschel Clifton A. Poth Dominik Hintersdorf Kristian Kersting SILM DiffM 19 4 0 10 Oct 2023