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Poisons that are learned faster are more effective

Poisons that are learned faster are more effective

19 April 2022
Pedro Sandoval-Segura
Vasu Singla
Liam H. Fowl
Jonas Geiping
Micah Goldblum
David Jacobs
Tom Goldstein
ArXiv (abs)PDFHTML

Papers citing "Poisons that are learned faster are more effective"

15 / 15 papers shown
Provable Watermarking for Data Poisoning Attacks
Provable Watermarking for Data Poisoning Attacks
Yifan Zhu
Lijia Yu
Xiao-Shan Gao
AAML
147
0
0
10 Oct 2025
How Far Are We from True Unlearnability?
How Far Are We from True Unlearnability?International Conference on Learning Representations (ICLR), 2025
Kai Ye
Liangcai Su
Chenxiong Qian
205
4
0
09 Sep 2025
Typographic Attacks in a Multi-Image Setting
Typographic Attacks in a Multi-Image SettingNorth American Chapter of the Association for Computational Linguistics (NAACL), 2025
Xiaomeng Wang
Subrat Kishore Dutta
Martha Larson
AAML
197
2
0
12 Feb 2025
Learning from Convolution-based Unlearnable Datasets
Learning from Convolution-based Unlearnable Datasets
Dohyun Kim
Pedro Sandoval-Segura
MU
372
2
0
04 Nov 2024
Toward Availability Attacks in 3D Point Clouds
Toward Availability Attacks in 3D Point Clouds
Yifan Zhu
Yibo Miao
Yinpeng Dong
Xiao-Shan Gao
3DPCAAML
245
6
0
26 Jun 2024
ECLIPSE: Expunging Clean-label Indiscriminate Poisons via Sparse
  Diffusion Purification
ECLIPSE: Expunging Clean-label Indiscriminate Poisons via Sparse Diffusion Purification
Xianlong Wang
Shengshan Hu
Yechao Zhang
Ziqi Zhou
Leo Yu Zhang
Peng Xu
Wei Wan
Hai Jin
AAML
309
5
0
21 Jun 2024
Game-Theoretic Unlearnable Example Generator
Game-Theoretic Unlearnable Example Generator
Shuang Liu
Yihan Wang
Xiao-Shan Gao
AAML
222
11
0
31 Jan 2024
Detection and Defense of Unlearnable Examples
Detection and Defense of Unlearnable ExamplesAAAI Conference on Artificial Intelligence (AAAI), 2023
Yifan Zhu
Lijia Yu
Xiao-Shan Gao
AAML
183
10
0
14 Dec 2023
Corrupting Convolution-based Unlearnable Datasets with Pixel-based Image
  Transformations
Corrupting Convolution-based Unlearnable Datasets with Pixel-based Image Transformations
Xianlong Wang
Shengshan Hu
Minghui Li
Zhifei Yu
Ziqi Zhou
Leo Yu Zhang
AAML
257
6
0
30 Nov 2023
Attacking by Aligning: Clean-Label Backdoor Attacks on Object Detection
Attacking by Aligning: Clean-Label Backdoor Attacks on Object Detection
Yi Cheng
P. H. Hopchev
Minhao Cheng
AAML
173
11
0
19 Jul 2023
Unlearnable Examples for Diffusion Models: Protect Data from
  Unauthorized Exploitation
Unlearnable Examples for Diffusion Models: Protect Data from Unauthorized Exploitation
Zhengyue Zhao
Jinhao Duan
Xingui Hu
Kaidi Xu
Chenan Wang
Rui Zhang
Zidong Du
Qi Guo
Yunji Chen
DiffMWIGM
297
37
0
02 Jun 2023
What Can We Learn from Unlearnable Datasets?
What Can We Learn from Unlearnable Datasets?Neural Information Processing Systems (NeurIPS), 2023
Pedro Sandoval-Segura
Vasu Singla
Jonas Geiping
Micah Goldblum
Tom Goldstein
279
21
0
30 May 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
276
1
0
07 May 2023
Generative Poisoning Using Random Discriminators
Generative Poisoning Using Random Discriminators
Dirren van Vlijmen
A. Kolmus
Zhuoran Liu
Subrat Kishore Dutta
Martha Larson
175
3
0
02 Nov 2022
Autoregressive Perturbations for Data Poisoning
Autoregressive Perturbations for Data PoisoningNeural Information Processing Systems (NeurIPS), 2022
Pedro Sandoval-Segura
Vasu Singla
Jonas Geiping
Micah Goldblum
Tom Goldstein
David Jacobs
AAML
360
52
0
08 Jun 2022
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