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Poisoning Attacks against Support Vector Machines

Poisoning Attacks against Support Vector Machines

Battista Biggio
B. Nelson
Pavel Laskov
    AAML
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Papers citing "Poisoning Attacks against Support Vector Machines"

13 / 13 papers shown
Title
Covert Attacks on Machine Learning Training in Passively Secure MPC
Covert Attacks on Machine Learning Training in Passively Secure MPC
Matthew Jagielski
Daniel Escudero
Rahul Rachuri
Peter Scholl
41
0
0
21 May 2025
Atlas: A Framework for ML Lifecycle Provenance & Transparency
Atlas: A Framework for ML Lifecycle Provenance & Transparency
Marcin Spoczynski
Marcela S. Melara
Siyang Song
116
1
0
26 Feb 2025
Efficient Multivariate Robust Mean Estimation Under Mean-Shift Contamination
Efficient Multivariate Robust Mean Estimation Under Mean-Shift Contamination
Ilias Diakonikolas
Giannis Iakovidis
D. Kane
Thanasis Pittas
138
0
0
20 Feb 2025
GASLITEing the Retrieval: Exploring Vulnerabilities in Dense Embedding-based Search
GASLITEing the Retrieval: Exploring Vulnerabilities in Dense Embedding-based Search
Matan Ben-Tov
Mahmood Sharif
RALM
84
1
0
31 Dec 2024
Poison-splat: Computation Cost Attack on 3D Gaussian Splatting
Poison-splat: Computation Cost Attack on 3D Gaussian Splatting
Jiahao Lu
Yifan Zhang
Qiuhong Shen
Xinchao Wang
Shuicheng Yan
3DGS
78
1
0
10 Oct 2024
On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning
On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning
Yongyi Su
Yushu Li
Nanqing Liu
Kui Jia
Xulei Yang
Chuan-Sheng Foo
Xun Xu
TTA
AAML
71
1
0
07 Oct 2024
2DSig-Detect: a semi-supervised framework for anomaly detection on image data using 2D-signatures
2DSig-Detect: a semi-supervised framework for anomaly detection on image data using 2D-signatures
Xinheng Xie
Kureha Yamaguchi
Margaux Leblanc
Simon Malzard
Varun Chhabra
Victoria Nockles
Yue-bo Wu
AAML
106
0
0
08 Sep 2024
Partner in Crime: Boosting Targeted Poisoning Attacks against Federated Learning
Partner in Crime: Boosting Targeted Poisoning Attacks against Federated Learning
Shihua Sun
Shridatt Sugrim
Angelos Stavrou
Haining Wang
AAML
86
1
0
13 Jul 2024
Machine Unlearning Fails to Remove Data Poisoning Attacks
Machine Unlearning Fails to Remove Data Poisoning Attacks
Martin Pawelczyk
Jimmy Z. Di
Yiwei Lu
Gautam Kamath
Ayush Sekhari
Seth Neel
AAML
MU
75
12
0
25 Jun 2024
Using Anomaly Detection to Detect Poisoning Attacks in Federated Learning Applications
Using Anomaly Detection to Detect Poisoning Attacks in Federated Learning Applications
Ali Raza
Shujun Li
K. Tran
L. Koehl
Kim Duc Tran
AAML
65
4
0
18 Jul 2022
Energy-Latency Attacks via Sponge Poisoning
Energy-Latency Attacks via Sponge Poisoning
Antonio Emanuele Cinà
Ambra Demontis
Battista Biggio
Fabio Roli
Marcello Pelillo
SILM
86
29
0
14 Mar 2022
Adversarial Examples on Object Recognition: A Comprehensive Survey
Adversarial Examples on Object Recognition: A Comprehensive Survey
A. Serban
E. Poll
Joost Visser
AAML
64
73
0
07 Aug 2020
Practical Black-Box Attacks against Machine Learning
Practical Black-Box Attacks against Machine Learning
Nicolas Papernot
Patrick McDaniel
Ian Goodfellow
S. Jha
Z. Berkay Celik
A. Swami
MLAU
AAML
44
3,656
0
08 Feb 2016