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Few-shot Backdoor Attacks via Neural Tangent Kernels

Few-shot Backdoor Attacks via Neural Tangent Kernels

12 October 2022
J. Hayase
Sewoong Oh
ArXivPDFHTML

Papers citing "Few-shot Backdoor Attacks via Neural Tangent Kernels"

9 / 9 papers shown
Title
Equivariant Neural Tangent Kernels
Equivariant Neural Tangent Kernels
Philipp Misof
Pan Kessel
Jan E. Gerken
64
0
0
10 Jun 2024
Rethinking Adversarial Training with Neural Tangent Kernel
Rethinking Adversarial Training with Neural Tangent Kernel
Guanlin Li
Han Qiu
Shangwei Guo
Jiwei Li
Tianwei Zhang
AAML
22
0
0
04 Dec 2023
Domain Watermark: Effective and Harmless Dataset Copyright Protection is
  Closed at Hand
Domain Watermark: Effective and Harmless Dataset Copyright Protection is Closed at Hand
Junfeng Guo
Yiming Li
Lixu Wang
Shu-Tao Xia
Heng-Chiao Huang
Cong Liu
Boheng Li
30
50
0
09 Oct 2023
XGBD: Explanation-Guided Graph Backdoor Detection
XGBD: Explanation-Guided Graph Backdoor Detection
Zihan Guan
Mengnan Du
Ninghao Liu
AAML
29
9
0
08 Aug 2023
Black-box Backdoor Defense via Zero-shot Image Purification
Black-box Backdoor Defense via Zero-shot Image Purification
Yucheng Shi
Mengnan Du
Xuansheng Wu
Zihan Guan
Jin Sun
Ninghao Liu
40
28
0
21 Mar 2023
Attacks in Adversarial Machine Learning: A Systematic Survey from the
  Life-cycle Perspective
Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective
Baoyuan Wu
Zihao Zhu
Li Liu
Qingshan Liu
Zhaofeng He
Siwei Lyu
AAML
44
21
0
19 Feb 2023
Enhancing Backdoor Attacks with Multi-Level MMD Regularization
Enhancing Backdoor Attacks with Multi-Level MMD Regularization
Pengfei Xia
Hongjing Niu
Ziqiang Li
Bin Li
AAML
43
29
0
09 Nov 2021
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
196
252
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
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