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RIBAC: Towards Robust and Imperceptible Backdoor Attack against Compact
  DNN

RIBAC: Towards Robust and Imperceptible Backdoor Attack against Compact DNN

22 August 2022
Huy Phan
Cong Shi
Yi Xie
Tian-Di Zhang
Zhuohang Li
Tianming Zhao
Jian-Dong Liu
Yan Wang
Ying Chen
Bo Yuan
    AAML
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Papers citing "RIBAC: Towards Robust and Imperceptible Backdoor Attack against Compact DNN"

5 / 5 papers shown
Title
Universal Soldier: Using Universal Adversarial Perturbations for
  Detecting Backdoor Attacks
Universal Soldier: Using Universal Adversarial Perturbations for Detecting Backdoor Attacks
Xiaoyun Xu
Oguzhan Ersoy
S. Picek
AAML
16
2
0
01 Feb 2023
CSTAR: Towards Compact and STructured Deep Neural Networks with
  Adversarial Robustness
CSTAR: Towards Compact and STructured Deep Neural Networks with Adversarial Robustness
Huy Phan
Miao Yin
Yang Sui
Bo Yuan
S. Zonouz
AAML
GNN
13
8
0
04 Dec 2022
Qu-ANTI-zation: Exploiting Quantization Artifacts for Achieving
  Adversarial Outcomes
Qu-ANTI-zation: Exploiting Quantization Artifacts for Achieving Adversarial Outcomes
Sanghyun Hong
Michael-Andrei Panaitescu-Liess
Yigitcan Kaya
Tudor Dumitras
MQ
52
13
0
26 Oct 2021
Quantization Backdoors to Deep Learning Commercial Frameworks
Quantization Backdoors to Deep Learning Commercial Frameworks
Hua Ma
Huming Qiu
Yansong Gao
Zhi-Li Zhang
A. Abuadbba
Minhui Xue
Anmin Fu
Jiliang Zhang
S. Al-Sarawi
Derek Abbott
MQ
30
19
0
20 Aug 2021
Real-time, Universal, and Robust Adversarial Attacks Against Speaker
  Recognition Systems
Real-time, Universal, and Robust Adversarial Attacks Against Speaker Recognition Systems
Yi Xie
Cong Shi
Zhuohang Li
Jian-Dong Liu
Yingying Chen
Bo Yuan
AAML
74
95
0
04 Mar 2020
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