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Towards Backdoor Attacks and Defense in Robust Machine Learning Models

Towards Backdoor Attacks and Defense in Robust Machine Learning Models

25 February 2020
E. Soremekun
Sakshi Udeshi
Sudipta Chattopadhyay
    AAML
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Papers citing "Towards Backdoor Attacks and Defense in Robust Machine Learning Models"

3 / 3 papers shown
Title
Towards Unified Robustness Against Both Backdoor and Adversarial Attacks
Towards Unified Robustness Against Both Backdoor and Adversarial Attacks
Zhenxing Niu
Yuyao Sun
Qiguang Miao
Rong Jin
Gang Hua
AAML
41
6
0
28 May 2024
Mind the box: $l_1$-APGD for sparse adversarial attacks on image
  classifiers
Mind the box: l1l_1l1​-APGD for sparse adversarial attacks on image classifiers
Francesco Croce
Matthias Hein
AAML
47
54
0
01 Mar 2021
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
234
677
0
19 Oct 2020
1