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Regularisation Can Mitigate Poisoning Attacks: A Novel Analysis Based on
  Multiobjective Bilevel Optimisation
v1v2 (latest)

Regularisation Can Mitigate Poisoning Attacks: A Novel Analysis Based on Multiobjective Bilevel Optimisation

28 February 2020
Javier Carnerero-Cano
Luis Muñoz-González
P. Spencer
Emil C. Lupu
    AAML
ArXiv (abs)PDFHTML

Papers citing "Regularisation Can Mitigate Poisoning Attacks: A Novel Analysis Based on Multiobjective Bilevel Optimisation"

7 / 7 papers shown
MBL-CPDP: A Multi-objective Bilevel Method for Cross-Project Defect
  Prediction via Automated Machine Learning
MBL-CPDP: A Multi-objective Bilevel Method for Cross-Project Defect Prediction via Automated Machine Learning
Jiaxin Chen
Jinliang Ding
Kay Chen Tan
Jiancheng Qian
Ke Li
232
3
0
10 Nov 2024
Enhancing the Antidote: Improved Pointwise Certifications against
  Poisoning Attacks
Enhancing the Antidote: Improved Pointwise Certifications against Poisoning AttacksAAAI Conference on Artificial Intelligence (AAAI), 2023
Shijie Liu
Andrew C. Cullen
Paul Montague
S. Erfani
Benjamin I. P. Rubinstein
AAML
329
7
0
15 Aug 2023
Hyperparameter Learning under Data Poisoning: Analysis of the Influence
  of Regularization via Multiobjective Bilevel Optimization
Hyperparameter Learning under Data Poisoning: Analysis of the Influence of Regularization via Multiobjective Bilevel OptimizationIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Javier Carnerero-Cano
Luis Muñoz-González
P. Spencer
Emil C. Lupu
AAML
271
7
0
02 Jun 2023
De-Pois: An Attack-Agnostic Defense against Data Poisoning Attacks
De-Pois: An Attack-Agnostic Defense against Data Poisoning AttacksIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2021
Jian Chen
Xuxin Zhang
Rui Zhang
Chen Wang
Ling Liu
AAML
285
113
0
08 May 2021
Investigating Bi-Level Optimization for Learning and Vision from a
  Unified Perspective: A Survey and Beyond
Investigating Bi-Level Optimization for Learning and Vision from a Unified Perspective: A Survey and BeyondIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Risheng Liu
Jiaxin Gao
Jin Zhang
Deyu Meng
Zhouchen Lin
AI4CE
642
278
0
27 Jan 2021
How Robust are Randomized Smoothing based Defenses to Data Poisoning?
How Robust are Randomized Smoothing based Defenses to Data Poisoning?Computer Vision and Pattern Recognition (CVPR), 2020
Akshay Mehra
B. Kailkhura
Pin-Yu Chen
Jihun Hamm
OODAAML
381
34
0
02 Dec 2020
Systematic Evaluation of Backdoor Data Poisoning Attacks on Image
  Classifiers
Systematic Evaluation of Backdoor Data Poisoning Attacks on Image Classifiers
Loc Truong
Chace Jones
Brian Hutchinson
Andrew August
Brenda Praggastis
Robert J. Jasper
Nicole Nichols
Aaron Tuor
AAML
179
63
0
24 Apr 2020
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