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Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning

1 April 2018

Battista Biggio

Papers citing "Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning"

50 / 318 papers shown

Title
Screen Hijack: Visual Poisoning of VLM Agents in Mobile Environments Xuan Wang Siyuan Liang Zhe Liu Yi Yu Yuliang Lu Xiaochun Cao Ee-Chien Chang X. Gao AAML 92 0 0 16 Jun 2025
Evasion Attacks Against Bayesian Predictive Models Pablo G. Arce Roi Naveiro D. Insua AAML 93 0 0 11 Jun 2025
Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Kai Li Conggai Li Xin Yuan Shenghong Li Sai Zou ... W. Ni Dusit Niyato Abbas Jamalipour Falko Dressler Ozgur B. Akan AI4CE 34 0 0 26 May 2025
Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach Huazi Pan Yanjun Zhang Leo Yu Zhang Scott Adams Abbas Kouzani Suiyang Khoo FedML 78 0 0 22 May 2025
Covert Attacks on Machine Learning Training in Passively Secure MPC Matthew Jagielski Daniel Escudero Rahul Rachuri Peter Scholl 97 0 0 21 May 2025
Federated Learning for Cyber Physical Systems: A Comprehensive Survey Minh K. Quan P. Pathirana M. Wijayasundara S. Setunge Dinh C. Nguyen Christopher G. Brinton David J. Love H. Vincent Poor AI4CE 112 0 0 08 May 2025
Traceback of Poisoning Attacks to Retrieval-Augmented Generation Baolei Zhang Haoran Xin Minghong Fang Zhuqing Liu Biao Yi Tong Li Zheli Liu SILM AAML 146 1 0 30 Apr 2025
Data Poisoning in Deep Learning: A Survey Pinlong Zhao Weiyao Zhu Pengfei Jiao Di Gao Ou Wu AAML 157 1 0 27 Mar 2025
Opportunities and Challenges of Frontier Data Governance With Synthetic Data Madhavendra Thakur Jason Hausenloy 97 0 0 21 Mar 2025
Technical Insights and Legal Considerations for Advancing Federated Learning in Bioinformatics Daniele Malpetti Marco Scutari Francesco Gualdi Jessica van Setten Sander van der Laan Saskia Haitjema Aaron Mark Lee Isabelle Hering Francesca Mangili FedML AI4CE 178 1 0 12 Mar 2025
Trustworthy Machine Learning via Memorization and the Granular Long-Tail: A Survey on Interactions, Tradeoffs, and Beyond Qiongxiu Li Xiaoyu Luo Yiyi Chen Johannes Bjerva 247 2 0 10 Mar 2025
Decoding the Black Box: Integrating Moral Imagination with Technical AI Governance Krti Tallam 76 1 0 09 Mar 2025
Towards Autonomous Reinforcement Learning for Real-World Robotic Manipulation with Large Language Models Niccolò Turcato Matteo Iovino Aris Synodinos Alberto Dalla Libera R. Carli Pietro Falco LM&Ro 127 0 0 06 Mar 2025
FedSV: Byzantine-Robust Federated Learning via Shapley Value Khaoula Otmani Rachid Elazouzi Vincent Labatut FedML AAML 194 2 0 24 Feb 2025
Poisoning Prevention in Federated Learning and Differential Privacy via Stateful Proofs of Execution Norrathep Rattanavipanon Ivan de Oliviera Nunes 160 0 0 28 Jan 2025
Data Poisoning Attacks to Local Differential Privacy Protocols for Graphs Xi He Kai Huang Qingqing Ye Haibo Hu AAML 88 1 0 31 Dec 2024
Deferred Poisoning: Making the Model More Vulnerable via Hessian Singularization Yuhao He Jinyu Tian Xianwei Zheng Li Dong Yuanman Li L. Zhang AAML 88 0 0 06 Nov 2024
Formal Logic-guided Robust Federated Learning against Poisoning Attacks Dung T. Nguyen Ziyan An Taylor T. Johnson Meiyi Ma Kevin Leach AAML OOD 68 0 0 05 Nov 2024
Pseudo-Probability Unlearning: Towards Efficient and Privacy-Preserving Machine Unlearning Zihao Zhao Yijiang Li Yue Yang Wenqing Zhang Nuno Vasconcelos Yinzhi Cao MU 92 1 0 04 Nov 2024
Engineering Trustworthy AI: A Developer Guide for Empirical Risk Minimization Diana Pfau Alexander Jung 80 1 0 25 Oct 2024
Fragile Giants: Understanding the Susceptibility of Models to Subpopulation Attacks Isha Gupta Hidde Lycklama Emanuel Opel Evan Rose Anwar Hithnawi AAML 67 0 0 11 Oct 2024
Poison-splat: Computation Cost Attack on 3D Gaussian Splatting Jiahao Lu Yifan Zhang Qiuhong Shen Xinchao Wang Shuicheng Yan 3DGS 140 2 0 10 Oct 2024
Empirical Perturbation Analysis of Linear System Solvers from a Data Poisoning Perspective Yixin Liu Arielle Carr Lichao Sun AAML 81 0 0 01 Oct 2024
Timber! Poisoning Decision Trees Stefano Calzavara Lorenzo Cazzaro Massimo Vettori AAML 76 0 0 01 Oct 2024
The poison of dimensionality Lê-Nguyên Hoang 79 2 0 25 Sep 2024
UTrace: Poisoning Forensics for Private Collaborative Learning Evan Rose Hidde Lycklama Harsh Chaudhari Anwar Hithnawi Alina Oprea 80 1 0 23 Sep 2024
Exploiting the Data Gap: Utilizing Non-ignorable Missingness to Manipulate Model Learning D. Koyuncu Alex Gittens B. Yener M. Yung AAML 43 0 0 06 Sep 2024
Achieving Byzantine-Resilient Federated Learning via Layer-Adaptive Sparsified Model Aggregation Jiahao Xu Zikai Zhang Rui Hu 92 6 0 02 Sep 2024
Representation Alignment from Human Feedback for Cross-Embodiment Reward Learning from Mixed-Quality Demonstrations Connor Mattson Anurag Aribandi Daniel S. Brown 90 0 0 10 Aug 2024
Model Hijacking Attack in Federated Learning Zheng Li Siyuan Wu Ruichuan Chen Paarijaat Aditya Istemi Ekin Akkus Manohar Vanga Min Zhang Hao Li Yang Zhang FedML AAML 67 0 0 04 Aug 2024
Adversarial Text Rewriting for Text-aware Recommender Systems Ganesh Ghalme Reshef Meir Srijan Kumar 70 0 0 01 Aug 2024
Vera Verto: Multimodal Hijacking Attack Minxing Zhang Wenhao Yang H. Bidkhori Yang Zhang AAML 58 0 0 31 Jul 2024
Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks Lukas Gosch Mahalakshmi Sabanayagam Debarghya Ghoshdastidar Stephan Günnemann AAML 122 3 0 15 Jul 2024
Deep Learning for Network Anomaly Detection under Data Contamination: Evaluating Robustness and Mitigating Performance Degradation D'Jeff K. Nkashama Jordan Masakuna Félicien Arian Soltani Jean-Charles Verdier Pierre Martin Tardif Marc Frappier F. Kabanza AAML 102 1 0 11 Jul 2024
Data Poisoning Attacks to Locally Differentially Private Frequent Itemset Mining Protocols Wei Tong Haoyu Chen Jiacheng Niu Sheng Zhong AAML 78 4 0 27 Jun 2024
Dye4AI: Assuring Data Boundary on Generative AI Services Shu Wang Kun Sun Yan Zhai 79 1 0 20 Jun 2024
BadSampler: Harnessing the Power of Catastrophic Forgetting to Poison Byzantine-robust Federated Learning Yi Liu Cong Wang Lizhen Qu AAML 96 3 0 18 Jun 2024
Linkage on Security, Privacy and Fairness in Federated Learning: New Balances and New Perspectives Linlin Wang Tianqing Zhu Wanlei Zhou Philip S. Yu 72 2 0 16 Jun 2024
Emerging Safety Attack and Defense in Federated Instruction Tuning of Large Language Models Rui Ye Jingyi Chai Xiangrui Liu Yaodong Yang Yanfeng Wang Siheng Chen AAML 156 10 0 15 Jun 2024
RMF: A Risk Measurement Framework for Machine Learning Models Jan Schröder Jakub Breier 39 1 0 15 Jun 2024
A Survey on Machine Unlearning: Techniques and New Emerged Privacy Risks Hengzhu Liu Ping Xiong Tianqing Zhu Philip S. Yu 94 9 0 10 Jun 2024
Nonlinear Transformations Against Unlearnable Datasets T. Hapuarachchi Jing Lin Kaiqi Xiong Mohamed Rahouti Gitte Ost 91 1 0 05 Jun 2024
Phantom: General Trigger Attacks on Retrieval Augmented Language Generation Harsh Chaudhari Giorgio Severi John Abascal Matthew Jagielski Christopher A. Choquette-Choo Milad Nasr Cristina Nita-Rotaru Alina Oprea SILM AAML 129 40 0 30 May 2024
Learning from Uncertain Data: From Possible Worlds to Possible Models Jiongli Zhu Su Feng Boris Glavic Babak Salimi 80 1 0 28 May 2024
Leverage Variational Graph Representation For Model Poisoning on Federated Learning Kai Li Xinnan Yuan Jingjing Zheng Wei Ni Falko Dressler Abbas Jamalipour AAML FedML 90 7 0 23 Apr 2024
Advances and Open Challenges in Federated Learning with Foundation Models Chao Ren Han Yu Hongyi Peng Xiaoli Tang Anran Li ... A. Tan Bo Zhao Xiaoxiao Li Zengxiang Li Qiang Yang FedML AIFin AI4CE 154 11 0 23 Apr 2024
Toward a Quantum Information System Cybersecurity Taxonomy and Testbed: Exploiting a Unique Opportunity for Early Impact Benjamin Blakely Joaquin Chung Alec Poczatek Ryan Syed Raj Kettimuthu 47 1 0 18 Apr 2024
SpamDam: Towards Privacy-Preserving and Adversary-Resistant SMS Spam Detection Yekai Li Rufan Zhang Wenxin Rong Xianghang Mi 96 3 0 15 Apr 2024
Algorithmic Complexity Attacks on Dynamic Learned Indexes Rui Yang Evgenios M. Kornaropoulos Yue Cheng AAML 93 3 0 19 Mar 2024
Certified Robustness to Clean-Label Poisoning Using Diffusion Denoising Sanghyun Hong Nicholas Carlini Alexey Kurakin DiffM 86 4 0 18 Mar 2024