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Invisible Backdoor Attacks Using Data Poisoning in the Frequency Domain

Invisible Backdoor Attacks Using Data Poisoning in the Frequency Domain

9 July 2022
Chang Yue
Peizhuo Lv
Ruigang Liang
Kai Chen
    AAML
ArXivPDFHTML

Papers citing "Invisible Backdoor Attacks Using Data Poisoning in the Frequency Domain"

4 / 4 papers shown
Title
When Side-Channel Attacks Break the Black-Box Property of Embedded
  Artificial Intelligence
When Side-Channel Attacks Break the Black-Box Property of Embedded Artificial Intelligence
Benoît Coqueret
Mathieu Carbone
Olivier Sentieys
Gabriel Zaid
45
2
0
23 Nov 2023
Look, Listen, and Attack: Backdoor Attacks Against Video Action
  Recognition
Look, Listen, and Attack: Backdoor Attacks Against Video Action Recognition
Hasan Hammoud
Shuming Liu
Mohammad Alkhrashi
Fahad Albalawi
Bernard Ghanem
AAML
32
8
0
03 Jan 2023
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
258
3,369
0
09 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