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BagFlip: A Certified Defense against Data Poisoning
v1v2 (latest)

BagFlip: A Certified Defense against Data Poisoning

Neural Information Processing Systems (NeurIPS), 2022
26 May 2022
Yuhao Zhang
Aws Albarghouthi
Loris Dántoni
    AAML
ArXiv (abs)PDFHTML

Papers citing "BagFlip: A Certified Defense against Data Poisoning"

12 / 12 papers shown
Keeping up with dynamic attackers: Certifying robustness to adaptive online data poisoning
Keeping up with dynamic attackers: Certifying robustness to adaptive online data poisoningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Avinandan Bose
Laurent Lessard
Maryam Fazel
Krishnamurthy Dvijotham
AAML
233
3
0
23 Feb 2025
Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks
Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks
Lukas Gosch
Mahalakshmi Sabanayagam
Debarghya Ghoshdastidar
Stephan Günnemann
AAML
634
6
0
15 Jul 2024
FullCert: Deterministic End-to-End Certification for Training and
  Inference of Neural Networks
FullCert: Deterministic End-to-End Certification for Training and Inference of Neural Networks
Tobias Lorenz
Marta Kwiatkowska
Mario Fritz
AAML
194
3
0
17 Jun 2024
Relational DNN Verification With Cross Executional Bound Refinement
Relational DNN Verification With Cross Executional Bound RefinementInternational Conference on Machine Learning (ICML), 2024
Debangshu Banerjee
Gagandeep Singh
AAML
358
8
0
16 May 2024
FCert: Certifiably Robust Few-Shot Classification in the Era of
  Foundation Models
FCert: Certifiably Robust Few-Shot Classification in the Era of Foundation Models
Yanting Wang
Wei Zou
Jinyuan Jia
295
4
0
12 Apr 2024
Dialectical Alignment: Resolving the Tension of 3H and Security Threats
  of LLMs
Dialectical Alignment: Resolving the Tension of 3H and Security Threats of LLMs
Shu Yang
Jiayuan Su
Han Jiang
Mengdi Li
Keyuan Cheng
Muhammad Asif Ali
Lijie Hu
Haiyan Zhao
344
10
0
30 Mar 2024
Certified Robustness to Clean-Label Poisoning Using Diffusion Denoising
Certified Robustness to Clean-Label Poisoning Using Diffusion Denoising
Sanghyun Hong
Nicholas Carlini
Alexey Kurakin
DiffM
365
3
0
18 Mar 2024
Mendata: A Framework to Purify Manipulated Training Data
Mendata: A Framework to Purify Manipulated Training Data
Zonghao Huang
Neil Zhenqiang Gong
Michael K. Reiter
332
0
0
03 Dec 2023
CBD: A Certified Backdoor Detector Based on Local Dominant Probability
CBD: A Certified Backdoor Detector Based on Local Dominant ProbabilityNeural Information Processing Systems (NeurIPS), 2023
Zhen Xiang
Zidi Xiong
Bo Li
AAML
406
27
0
26 Oct 2023
Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared
  Adversarial Examples
Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared Adversarial ExamplesNeural Information Processing Systems (NeurIPS), 2023
Shaokui Wei
Ruotong Wang
H. Zha
Baoyuan Wu
TPM
277
57
0
20 Jul 2023
Pick your Poison: Undetectability versus Robustness in Data Poisoning
  Attacks
Pick your Poison: Undetectability versus Robustness in Data Poisoning Attacks
Nils Lukas
Florian Kerschbaum
340
1
0
07 May 2023
PECAN: A Deterministic Certified Defense Against Backdoor Attacks
PECAN: A Deterministic Certified Defense Against Backdoor Attacks
Yuhao Zhang
Aws Albarghouthi
Loris Dántoni
AAML
383
4
0
27 Jan 2023
1
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