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DeepSearch: A Simple and Effective Blackbox Attack for Deep Neural
  Networks

DeepSearch: A Simple and Effective Blackbox Attack for Deep Neural Networks

14 October 2019
Fuyuan Zhang
Sankalan Pal Chowdhury
M. Christakis
    AAML
ArXivPDFHTML

Papers citing "DeepSearch: A Simple and Effective Blackbox Attack for Deep Neural Networks"

6 / 6 papers shown
Title
Machine Translation Testing via Syntactic Tree Pruning
Machine Translation Testing via Syntactic Tree Pruning
Quanjun Zhang
Juan Zhai
Chunrong Fang
Jiawei Liu
Weisong Sun
Haichuan Hu
Qingyu Wang
36
3
0
01 Jan 2024
On the Limitation of MagNet Defense against $L_1$-based Adversarial
  Examples
On the Limitation of MagNet Defense against L1L_1L1​-based Adversarial Examples
Pei-Hsuan Lu
Pin-Yu Chen
Kang-Cheng Chen
Chia-Mu Yu
AAML
57
19
0
14 Apr 2018
Output Reachable Set Estimation and Verification for Multi-Layer Neural
  Networks
Output Reachable Set Estimation and Verification for Multi-Layer Neural Networks
Weiming Xiang
Hoang-Dung Tran
Taylor T. Johnson
88
293
0
09 Aug 2017
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Guy Katz
Clark W. Barrett
D. Dill
Kyle D. Julian
Mykel Kochenderfer
AAML
251
1,842
0
03 Feb 2017
Safety Verification of Deep Neural Networks
Safety Verification of Deep Neural Networks
Xiaowei Huang
Marta Kwiatkowska
Sen Wang
Min Wu
AAML
183
933
0
21 Oct 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
332
5,849
0
08 Jul 2016
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