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BackdoorBench: A Comprehensive Benchmark and Analysis of Backdoor
  Learning

BackdoorBench: A Comprehensive Benchmark and Analysis of Backdoor Learning

26 January 2024
Baoyuan Wu
Hongrui Chen
Mingda Zhang
Zihao Zhu
Shaokui Wei
Danni Yuan
Mingli Zhu
Ruotong Wang
Li Liu
Chaoxiao Shen
    AAML
    ELM
ArXivPDFHTML

Papers citing "BackdoorBench: A Comprehensive Benchmark and Analysis of Backdoor Learning"

10 / 10 papers shown
Title
Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace
Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace
Jinluan Yang
A. Tang
Didi Zhu
Zhengyu Chen
Li Shen
Fei Wu
MoMe
AAML
52
3
0
17 Oct 2024
A Proxy Attack-Free Strategy for Practically Improving the Poisoning
  Efficiency in Backdoor Attacks
A Proxy Attack-Free Strategy for Practically Improving the Poisoning Efficiency in Backdoor Attacks
Ziqiang Li
Hong Sun
Pengfei Xia
Beihao Xia
Xue Rui
Wei Zhang
Qinglang Guo
Bin Li
AAML
25
8
0
14 Jun 2023
Backdoor Defense via Deconfounded Representation Learning
Backdoor Defense via Deconfounded Representation Learning
Zaixin Zhang
Qi Liu
Zhicai Wang
Zepu Lu
Qingyong Hu
AAML
46
39
0
13 Mar 2023
BppAttack: Stealthy and Efficient Trojan Attacks against Deep Neural
  Networks via Image Quantization and Contrastive Adversarial Learning
BppAttack: Stealthy and Efficient Trojan Attacks against Deep Neural Networks via Image Quantization and Contrastive Adversarial Learning
Zhenting Wang
Juan Zhai
Shiqing Ma
AAML
119
97
0
26 May 2022
RobustBench: a standardized adversarial robustness benchmark
RobustBench: a standardized adversarial robustness benchmark
Francesco Croce
Maksym Andriushchenko
Vikash Sehwag
Edoardo Debenedetti
Nicolas Flammarion
M. Chiang
Prateek Mittal
Matthias Hein
VLM
213
668
0
19 Oct 2020
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
185
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
162
284
0
02 Dec 2018
Analyzing Federated Learning through an Adversarial Lens
Analyzing Federated Learning through an Adversarial Lens
A. Bhagoji
Supriyo Chakraborty
Prateek Mittal
S. Calo
FedML
177
1,014
0
29 Nov 2018
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
273
2,878
0
15 Sep 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
250
5,813
0
08 Jul 2016
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