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Sibling-Attack: Rethinking Transferable Adversarial Attacks against Face
  Recognition

Sibling-Attack: Rethinking Transferable Adversarial Attacks against Face Recognition

22 March 2023
Zexin Li
Bangjie Yin
Taiping Yao
Junfeng Guo
Shouhong Ding
Simin Chen
Cong Liu
    AAML
ArXivPDFHTML

Papers citing "Sibling-Attack: Rethinking Transferable Adversarial Attacks against Face Recognition"

11 / 11 papers shown
Title
ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models
ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models
Sipeng Shen
Yunming Zhang
Dengpan Ye
Xiuwen Shi
Long Tang
Haoran Duan
Jiacheng Deng
Ziyi Liu
AAML
PICV
79
0
0
31 Dec 2024
Learning to Learn Transferable Generative Attack for Person Re-Identification
Learning to Learn Transferable Generative Attack for Person Re-Identification
Yuan Bian
Min Liu
Xueping Wang
Yunfeng Ma
Yaonan Wang
AAML
OOD
58
1
0
06 Sep 2024
R^3: On-device Real-Time Deep Reinforcement Learning for Autonomous
  Robotics
R^3: On-device Real-Time Deep Reinforcement Learning for Autonomous Robotics
Zexin Li
Aritra Samanta
Yufei Li
Andrea Soltoggio
Hyoseung Kim
Cong Liu
22
6
0
29 Aug 2023
Latent Code Augmentation Based on Stable Diffusion for Data-free
  Substitute Attacks
Latent Code Augmentation Based on Stable Diffusion for Data-free Substitute Attacks
Mingwen Shao
Lingzhuang Meng
Yuanjian Qiao
Lixu Zhang
W. Zuo
DiffM
29
0
0
24 Jul 2023
Generate, Discriminate and Contrast: A Semi-Supervised Sentence
  Representation Learning Framework
Generate, Discriminate and Contrast: A Semi-Supervised Sentence Representation Learning Framework
Yiming Chen
Yan Zhang
Bin Wang
Zuozhu Liu
Haizhou Li
37
25
0
30 Oct 2022
DeepPerform: An Efficient Approach for Performance Testing of
  Resource-Constrained Neural Networks
DeepPerform: An Efficient Approach for Performance Testing of Resource-Constrained Neural Networks
Simin Chen
Mirazul Haque
Cong Liu
Wei Yang
45
21
0
10 Oct 2022
LLMEffiChecker: Understanding and Testing Efficiency Degradation of
  Large Language Models
LLMEffiChecker: Understanding and Testing Efficiency Degradation of Large Language Models
Simin Chen
Cong Liu
Mirazul Haque
Wei Yang
34
21
0
07 Oct 2022
Learning to Reverse DNNs from AI Programs Automatically
Learning to Reverse DNNs from AI Programs Automatically
Simin Chen
Hamed Khanpour
Cong Liu
Wei Yang
35
15
0
20 May 2022
Delving into Data: Effectively Substitute Training for Black-box Attack
Delving into Data: Effectively Substitute Training for Black-box Attack
Wenxuan Wang
Bangjie Yin
Taiping Yao
Li Zhang
Yanwei Fu
Shouhong Ding
Jilin Li
Feiyue Huang
Xiangyang Xue
AAML
60
63
0
26 Apr 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
329
11,681
0
09 Mar 2017
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
287
5,835
0
08 Jul 2016
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