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2009.02276
Cited By
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Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching
International Conference on Learning Representations (ICLR), 2020
4 September 2020
Jonas Geiping
Liam H. Fowl
Wenjie Huang
W. Czaja
Gavin Taylor
Michael Moeller
Tom Goldstein
AAML
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Papers citing
"Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching"
50 / 148 papers shown
Provable Watermarking for Data Poisoning Attacks
Yifan Zhu
Lijia Yu
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139
0
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PUREVQ-GAN: Defending Data Poisoning Attacks through Vector-Quantized Bottlenecks
Alexander Branch
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Radin Khosraviani
Sunay Bhat
Jeffrey Q. Jiang
Gregory Pottie
69
0
0
30 Sep 2025
Coward: Collision-based Watermark for Proactive Federated Backdoor Detection
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Siying Gu
Yiming Li
Kangjie Chen
Zhili Chen
Tianwei Zhang
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146
1
0
04 Aug 2025
Defending Against Beta Poisoning Attacks in Machine Learning Models
Computer Science Symposium in Russia (CSR), 2025
Nilufer Gulciftci
M. Emre Gursoy
AAML
141
0
0
02 Aug 2025
A Practical and Secure Byzantine Robust Aggregator
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337
2
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29 Jun 2025
Poison Once, Control Anywhere: Clean-Text Visual Backdoors in VLM-based Mobile Agents
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Yi Yu
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Ee-Chien Chang
X. Gao
AAML
464
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16 Jun 2025
Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection
Conference on Uncertainty in Artificial Intelligence (UAI), 2025
Tianci Liu
Tong Yang
Quan Zhang
Qi Lei
WIGM
AAML
301
0
0
03 Jun 2025
Sybil-based Virtual Data Poisoning Attacks in Federated Learning
Changxun Zhu
Qilong Wu
Lingjuan Lyu
Shibei Xue
AAML
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328
0
0
15 May 2025
Like Oil and Water: Group Robustness Methods and Poisoning Defenses May Be at Odds
International Conference on Learning Representations (ICLR), 2025
Michael-Andrei Panaitescu-Liess
Yigitcan Kaya
Sicheng Zhu
Furong Huang
Tudor Dumitras
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268
0
0
02 Apr 2025
Instance-Level Data-Use Auditing of Visual ML Models
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Neil Zhenqiang Gong
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MLAU
410
1
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28 Mar 2025
Data Poisoning in Deep Learning: A Survey
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Weiyao Zhu
Pengfei Jiao
Di Gao
Ou Wu
AAML
498
15
0
27 Mar 2025
Clean Image May be Dangerous: Data Poisoning Attacks Against Deep Hashing
Shuai Li
Jie Zhang
Yuang Qi
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Tianwei Zhang
Weinan Zhang
Nenghai Yu
190
0
0
27 Mar 2025
Targeted Data Poisoning for Black-Box Audio Datasets Ownership Verification
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025
Wassim Bouaziz
El-Mahdi El-Mhamdi
Nicolas Usunier
283
2
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13 Mar 2025
Seal Your Backdoor with Variational Defense
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Matej Grcić
Sinisa Segvic
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11 Mar 2025
Towards Autonomous Reinforcement Learning for Real-World Robotic Manipulation with Large Language Models
IEEE Robotics and Automation Letters (IEEE RA-L), 2025
Niccolò Turcato
Matteo Iovino
Aris Synodinos
Alberto Dalla Libera
R. Carli
Pietro Falco
LM&Ro
475
1
0
06 Mar 2025
Approaching the Harm of Gradient Attacks While Only Flipping Labels
Abdessamad El-Kabid
El-Mahdi El-Mhamdi
AAML
264
1
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28 Feb 2025
Neuroplasticity and Corruption in Model Mechanisms: A Case Study Of Indirect Object Identification
North American Chapter of the Association for Computational Linguistics (NAACL), 2025
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Ding Zhu
Mohammad Mahdi Khalili
325
5
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27 Feb 2025
TAPE: Tailored Posterior Difference for Auditing of Machine Unlearning
The Web Conference (WWW), 2025
Weiqi Wang
Zhiyi Tian
An Liu
Shui Yu
320
3
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27 Feb 2025
Imitation Game for Adversarial Disillusion with Multimodal Generative Chain-of-Thought Role-Play
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Kai Gao
Hanrui Wang
Isao Echizen
AAML
1.0K
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31 Jan 2025
VENENA: A Deceptive Visual Encryption Framework for Wireless Semantic Secrecy
Bin Han
Ye Yuan
Hans D. Schotten
200
1
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18 Jan 2025
Defending Against Neural Network Model Inversion Attacks via Data Poisoning
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024
Shuai Zhou
Dayong Ye
Tianqing Zhu
Wanlei Zhou
AAML
214
4
0
10 Dec 2024
Delta-Influence: Unlearning Poisons via Influence Functions
Wenjie Li
Jiawei Li
Christian Schroeder de Witt
Christian Schroeder de Witt
Amartya Sanyal
Amartya Sanyal
MU
TDI
427
9
0
20 Nov 2024
Backdoor in Seconds: Unlocking Vulnerabilities in Large Pre-trained Models via Model Editing
Dongliang Guo
Mengxuan Hu
Zihan Guan
Junfeng Guo
Thomas Hartvigsen
Sheng Li
AAML
363
4
0
23 Oct 2024
Fragile Giants: Understanding the Susceptibility of Models to Subpopulation Attacks
Isha Gupta
Hidde Lycklama
Emanuel Opel
Evan Rose
Anwar Hithnawi
AAML
235
1
0
11 Oct 2024
Data Taggants: Dataset Ownership Verification via Harmless Targeted Data Poisoning
International Conference on Learning Representations (ICLR), 2024
Wassim Bouaziz
El-Mahdi El-Mhamdi
Nicolas Usunier
TDI
AAML
249
8
0
09 Oct 2024
Psychometrics for Hypnopaedia-Aware Machinery via Chaotic Projection of Artificial Mental Imagery
Ching-Chun Chang
Kai Gao
Shuying Xu
Anastasia Kordoni
Christopher Leckie
Isao Echizen
167
0
0
29 Sep 2024
UTrace: Poisoning Forensics for Private Collaborative Learning
Evan Rose
Hidde Lycklama
Harsh Chaudhari
Niklas Britz
Anwar Hithnawi
Alina Oprea
465
2
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23 Sep 2024
Data Poisoning and Leakage Analysis in Federated Learning
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Tiansheng Huang
Zachary Yahn
Anoop Singhal
Margaret Loper
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FedML
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224
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19 Sep 2024
Security Concerns in Quantum Machine Learning as a Service
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Swaroop Ghosh
285
5
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Clean-Label Physical Backdoor Attacks with Data Distillation
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Cuong Chi Le
Khoa D. Doan
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479
2
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Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks
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Stephan Günnemann
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Alex Bie
Gautam Kamath
Tosca Lechner
320
4
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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
530
28
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Really Unlearned? Verifying Machine Unlearning via Influential Sample Pairs
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MU
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241
5
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RMF: A Risk Measurement Framework for Machine Learning Models
ARES (ARES), 2024
Jan Schröder
Jakub Breier
132
1
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Generalization Bound and New Algorithm for Clean-Label Backdoor Attack
Lijia Yu
Shuang Liu
Yibo Miao
Xiao-Shan Gao
Lijun Zhang
AAML
303
10
0
02 Jun 2024
Phantom: General Backdoor Attacks on Retrieval Augmented Language Generation
Harsh Chaudhari
Giorgio Severi
John Abascal
Matthew Jagielski
Christopher A. Choquette-Choo
Milad Nasr
Cristina Nita-Rotaru
Cristina Nita-Rotaru
Alina Oprea
SILM
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373
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0
30 May 2024
PureEBM: Universal Poison Purification via Mid-Run Dynamics of Energy-Based Models
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Jeffrey Q. Jiang
Sunay Bhat
Gregory Pottie
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294
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Alexander Branch
Gregory Pottie
AAML
340
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Hard Work Does Not Always Pay Off: Poisoning Attacks on Neural Architecture Search
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290
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Micah Goldblum
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185
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171
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591
49
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Certified Robustness to Clean-Label Poisoning Using Diffusion Denoising
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Prateek Mittal
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282
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Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models
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Jiarui Yao
Manli Shu
Yanchao Sun
Zichu Wu
Ning Yu
Tom Goldstein
Furong Huang
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305
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205
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