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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
A Survey on Poisoning Attacks Against Supervised Machine Learning Wenjun Qiu AAML 69 9 0 05 Feb 2022
Linear Model Against Malicious Adversaries with Local Differential Privacy G. Miao A. Ding Samuel S. Wu AAML 44 1 0 05 Feb 2022
Backdoors Stuck At The Frontdoor: Multi-Agent Backdoor Attacks That Backfire Siddhartha Datta N. Shadbolt AAML 110 7 0 28 Jan 2022
Recommendation Unlearning C. L. Philip Chen Fei Sun Hao Fei Bolin Ding MU 88 99 0 18 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 118 59 0 17 Jan 2022
Adversarial Machine Learning Threat Analysis and Remediation in Open Radio Access Network (O-RAN) Edan Habler Ron Bitton D. Avraham D. Mimran Eitan Klevansky Oleg Brodt Heiko Lehmann Yuval Elovici A. Shabtai AAML 98 14 0 16 Jan 2022
Security for Machine Learning-based Software Systems: a survey of threats, practices and challenges Huaming Chen Muhammad Ali Babar AAML 97 23 0 12 Jan 2022
LoMar: A Local Defense Against Poisoning Attack on Federated Learning Xingyu Li Zhe Qu Shangqing Zhao Bo Tang Zhuo Lu Yao-Hong Liu AAML 102 97 0 08 Jan 2022
PORTFILER: Port-Level Network Profiling for Self-Propagating Malware Detection Talha Ongun Oliver Spohngellert Benjamin Miller Simona Boboila Alina Oprea Tina Eliassi-Rad Jason Hiser Alastair Nottingham Jack W. Davidson M. Veeraraghavan 27 11 0 27 Dec 2021
SoK: A Study of the Security on Voice Processing Systems Robert Chang Logan Kuo Arthur Liu Nader Sehatbakhsh 26 0 0 24 Dec 2021
Robust and Privacy-Preserving Collaborative Learning: A Comprehensive Survey Shangwei Guo Xu Zhang Feiyu Yang Tianwei Zhang Yan Gan Tao Xiang Yang Liu FedML 106 9 0 19 Dec 2021
On the Security & Privacy in Federated Learning Gorka Abad S. Picek Víctor Julio Ramírez-Durán A. Urbieta 126 11 0 10 Dec 2021
Adversarial Attacks Against Deep Generative Models on Data: A Survey Hui Sun Tianqing Zhu Zhiqiu Zhang Dawei Jin Wanlei Zhou AAML 146 44 0 01 Dec 2021
Living-Off-The-Land Command Detection Using Active Learning Talha Ongun Jack W. Stokes Jonathan Bar Or K. Tian Farid Tajaddodianfar Joshua Neil C. Seifert Alina Oprea John C. Platt AAML 42 24 0 30 Nov 2021
Trimming Stability Selection increases variable selection robustness Tino Werner 54 3 0 23 Nov 2021
Get a Model! Model Hijacking Attack Against Machine Learning Models A. Salem Michael Backes Yang Zhang AAML 109 28 0 08 Nov 2021
10 Security and Privacy Problems in Large Foundation Models Jinyuan Jia Hongbin Liu Neil Zhenqiang Gong 113 7 0 28 Oct 2021
Widen The Backdoor To Let More Attackers In Siddhartha Datta Giulio Lovisotto Ivan Martinovic N. Shadbolt AAML 58 3 0 09 Oct 2021
Backdoor Attacks on Federated Learning with Lottery Ticket Hypothesis Zeyuan Yin Ye Yuan Panfeng Guo Pan Zhou FedML 67 7 0 22 Sep 2021
Membership Inference Attacks Against Recommender Systems Minxing Zhang Zhaochun Ren Zihan Wang Fajie Yuan Zhumin Chen Pengfei Hu Yang Zhang MIACV AAML 85 90 0 16 Sep 2021
On the Initial Behavior Monitoring Issues in Federated Learning Ranwa Al Mallah Godwin Badu-Marfo Bilal Farooq FedML 16 2 0 11 Sep 2021
Back to the Drawing Board: A Critical Evaluation of Poisoning Attacks on Production Federated Learning Virat Shejwalkar Amir Houmansadr Peter Kairouz Daniel Ramage AAML 127 223 0 23 Aug 2021
Poison Ink: Robust and Invisible Backdoor Attack Jie Zhang Dongdong Chen Qidong Huang Jing Liao Weiming Zhang Huamin Feng G. Hua Nenghai Yu AAML 78 90 0 05 Aug 2021
Derivative-free Alternating Projection Algorithms for General Nonconvex-Concave Minimax Problems Zi Xu Ziqi Wang Jingjing Shen Yuhong Dai 148 10 0 01 Aug 2021
Can You Hear It? Backdoor Attacks via Ultrasonic Triggers Stefanos Koffas Jing Xu Mauro Conti S. Picek AAML 104 71 0 30 Jul 2021
Poisoning Online Learning Filters: DDoS Attacks and Countermeasures W. Tann E. Chang AAML 28 0 0 27 Jul 2021
Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning Akshay Mehra B. Kailkhura Pin-Yu Chen Jihun Hamm AAML 98 22 0 08 Jul 2021
Poisoning Attack against Estimating from Pairwise Comparisons Ke Ma Qianqian Xu Jinshan Zeng Xiaochun Cao Qingming Huang AAML 71 24 0 05 Jul 2021
Evaluating the Cybersecurity Risk of Real World, Machine Learning Production Systems Ron Bitton Nadav Maman Inderjeet Singh Satoru Momiyama Yuval Elovici A. Shabtai 111 19 0 05 Jul 2021
Bi-Level Poisoning Attack Model and Countermeasure for Appliance Consumption Data of Smart Homes M. Billah A. Anwar Ziaur Rahman S. Galib 58 8 0 01 Jul 2021
Sharing in a Trustless World: Privacy-Preserving Data Analytics with Potentially Cheating Participants Tham Nguyen Hassan Jameel Asghar Raghav Bhaskar Dali Kaafar F. Farokhi 35 0 0 18 Jun 2021
Bad Characters: Imperceptible NLP Attacks Nicholas Boucher Ilia Shumailov Ross J. Anderson Nicolas Papernot AAML SILM 116 107 0 18 Jun 2021
CAN-LOC: Spoofing Detection and Physical Intrusion Localization on an In-Vehicle CAN Bus Based on Deep Features of Voltage Signals Efrat Levy A. Shabtai B. Groza Pal-Stefan Murvay Yuval Elovici 49 22 0 15 Jun 2021
GAL: Gradient Assisted Learning for Decentralized Multi-Organization Collaborations Enmao Diao Jie Ding Vahid Tarokh FedML 84 17 0 02 Jun 2021
A Gradient Method for Multilevel Optimization Ryo Sato Mirai Tanaka Akiko Takeda 56 18 0 28 May 2021
Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be Secretly Coded into the Classifiers' Outputs Mohammad Malekzadeh Anastasia Borovykh Deniz Gündüz MIACV 87 42 0 25 May 2021
DeepObliviate: A Powerful Charm for Erasing Data Residual Memory in Deep Neural Networks Yingzhe He Guozhu Meng Kai Chen Jinwen He Xingbo Hu MU 59 28 0 13 May 2021
Incompatibility Clustering as a Defense Against Backdoor Poisoning Attacks Charles Jin Melinda Sun Martin Rinard AAML 38 6 0 08 May 2021
De-Pois: An Attack-Agnostic Defense against Data Poisoning Attacks Jian Chen Xuxin Zhang Rui Zhang Chen Wang Ling Liu AAML 72 88 0 08 May 2021
Exploiting Vulnerabilities in Deep Neural Networks: Adversarial and Fault-Injection Attacks Faiq Khalid Muhammad Abdullah Hanif Mohamed Bennai AAML SILM 78 9 0 05 May 2021
Poisoning the Unlabeled Dataset of Semi-Supervised Learning Nicholas Carlini AAML 225 68 0 04 May 2021
Broadly Applicable Targeted Data Sample Omission Attacks Guy Barash E. Farchi Sarit Kraus Onn Shehory AAML 40 0 0 04 May 2021
Hidden Backdoors in Human-Centric Language Models Shaofeng Li Hui Liu Tian Dong Benjamin Zi Hao Zhao Minhui Xue Haojin Zhu Jialiang Lu SILM 160 155 0 01 May 2021
Property Inference Attacks on Convolutional Neural Networks: Influence and Implications of Target Model's Complexity Mathias Parisot Balázs Pejó Dayana Spagnuelo MIACV 149 34 0 27 Apr 2021
Turning Federated Learning Systems Into Covert Channels Gabriele Costa Fabio Pinelli S. Soderi Gabriele Tolomei FedML 78 13 0 21 Apr 2021
Manipulating SGD with Data Ordering Attacks Ilia Shumailov Zakhar Shumaylov Dmitry Kazhdan Yiren Zhao Nicolas Papernot Murat A. Erdogdu Ross J. Anderson AAML 156 98 0 19 Apr 2021
FedCom: A Byzantine-Robust Local Model Aggregation Rule Using Data Commitment for Federated Learning Bo Zhao Peng Sun Liming Fang Tao Wang Ke Jiang FedML 64 4 0 16 Apr 2021
Mitigating Adversarial Attack for Compute-in-Memory Accelerator Utilizing On-chip Finetune Shanshi Huang Hongwu Jiang Shimeng Yu AAML 54 3 0 13 Apr 2021
Privacy and Trust Redefined in Federated Machine Learning Pavlos Papadopoulos Will Abramson A. Hall Nikolaos Pitropakis William J. Buchanan 74 42 0 29 Mar 2021
Graph Unlearning Min Chen Zhikun Zhang Tianhao Wang Michael Backes Mathias Humbert Yang Zhang MU 106 150 0 27 Mar 2021