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Demystifying Poisoning Backdoor Attacks from a Statistical Perspective

Demystifying Poisoning Backdoor Attacks from a Statistical Perspective

16 October 2023
Ganghua Wang
Xun Xian
Jayanth Srinivasa
Ashish Kundu
Xuan Bi
Mingyi Hong
Jie Ding
ArXivPDFHTML

Papers citing "Demystifying Poisoning Backdoor Attacks from a Statistical Perspective"

4 / 4 papers shown
Title
Probe Pruning: Accelerating LLMs through Dynamic Pruning via Model-Probing
Probe Pruning: Accelerating LLMs through Dynamic Pruning via Model-Probing
Qi Le
Enmao Diao
Ziyan Wang
Xinran Wang
Jie Ding
Li Yang
Ali Anwar
69
1
0
24 Feb 2025
Federated Learning Challenges and Opportunities: An Outlook
Federated Learning Challenges and Opportunities: An Outlook
Jie Ding
Eric W. Tramel
Anit Kumar Sahu
Shuang Wu
Salman Avestimehr
Tao Zhang
FedML
33
55
0
01 Feb 2022
Clean-Label Backdoor Attacks on Video Recognition Models
Clean-Label Backdoor Attacks on Video Recognition Models
Shihao Zhao
Xingjun Ma
Xiang Zheng
James Bailey
Jingjing Chen
Yu-Gang Jiang
AAML
193
274
0
06 Mar 2020
SentiNet: Detecting Localized Universal Attacks Against Deep Learning
  Systems
SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems
Edward Chou
Florian Tramèr
Giancarlo Pellegrino
AAML
168
287
0
02 Dec 2018
1