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Hybrid Batch Attacks: Finding Black-box Adversarial Examples with
  Limited Queries

Hybrid Batch Attacks: Finding Black-box Adversarial Examples with Limited Queries

19 August 2019
Fnu Suya
Jianfeng Chi
David E. Evans
Yuan Tian
    AAML
ArXivPDFHTML

Papers citing "Hybrid Batch Attacks: Finding Black-box Adversarial Examples with Limited Queries"

17 / 17 papers shown
Title
ChainMarks: Securing DNN Watermark with Cryptographic Chain
ChainMarks: Securing DNN Watermark with Cryptographic Chain
Brian Choi
Shu Wang
Isabelle Choi
Kun Sun
46
0
0
08 May 2025
Adversarial Hubness in Multi-Modal Retrieval
Adversarial Hubness in Multi-Modal Retrieval
Tingwei Zhang
Fnu Suya
Rishi Jha
Collin Zhang
Vitaly Shmatikov
AAML
85
1
0
18 Dec 2024
A First Physical-World Trajectory Prediction Attack via LiDAR-induced
  Deceptions in Autonomous Driving
A First Physical-World Trajectory Prediction Attack via LiDAR-induced Deceptions in Autonomous Driving
Yang Lou
Yi Zhu
Qun Song
Rui Tan
Chunming Qiao
Wei-Bin Lee
Jianping Wang
AAML
44
2
0
17 Jun 2024
STBA: Towards Evaluating the Robustness of DNNs for Query-Limited
  Black-box Scenario
STBA: Towards Evaluating the Robustness of DNNs for Query-Limited Black-box Scenario
Renyang Liu
Kwok-Yan Lam
Wei Zhou
Sixing Wu
Jun Zhao
Dongting Hu
Mingming Gong
AAML
28
0
0
30 Mar 2024
Unraveling the Key of Machine Learning Solutions for Android Malware
  Detection
Unraveling the Key of Machine Learning Solutions for Android Malware Detection
Jiahao Liu
Jun Zeng
Fabio Pierazzi
Lorenzo Cavallaro
Zhenkai Liang
AAML
26
8
0
05 Feb 2024
Adversarial Illusions in Multi-Modal Embeddings
Adversarial Illusions in Multi-Modal Embeddings
Tingwei Zhang
Rishi Jha
Eugene Bagdasaryan
Vitaly Shmatikov
AAML
34
8
0
22 Aug 2023
Ensemble-based Blackbox Attacks on Dense Prediction
Ensemble-based Blackbox Attacks on Dense Prediction
Zikui Cai
Yaoteng Tan
Ulugbek S. Kamilov
AAML
33
14
0
25 Mar 2023
Aegis: Mitigating Targeted Bit-flip Attacks against Deep Neural Networks
Aegis: Mitigating Targeted Bit-flip Attacks against Deep Neural Networks
Jialai Wang
Ziyuan Zhang
Meiqi Wang
Han Qiu
Tianwei Zhang
Qi Li
Zongpeng Li
Tao Wei
Chao Zhang
AAML
22
20
0
27 Feb 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
"Real Attackers Don't Compute Gradients": Bridging the Gap Between
  Adversarial ML Research and Practice
"Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice
Giovanni Apruzzese
Hyrum S. Anderson
Savino Dambra
D. Freeman
Fabio Pierazzi
Kevin A. Roundy
AAML
31
75
0
29 Dec 2022
Local Bayesian optimization via maximizing probability of descent
Local Bayesian optimization via maximizing probability of descent
Quan Nguyen
Kaiwen Wu
Jacob R. Gardner
Roman Garnett
25
23
0
21 Oct 2022
Decompiling x86 Deep Neural Network Executables
Decompiling x86 Deep Neural Network Executables
Zhibo Liu
Yuanyuan Yuan
Shuai Wang
Xiaofei Xie
L. Ma
AAML
45
13
0
03 Oct 2022
Query Efficient Decision Based Sparse Attacks Against Black-Box Deep
  Learning Models
Query Efficient Decision Based Sparse Attacks Against Black-Box Deep Learning Models
Viet Vo
Ehsan Abbasnejad
Damith C. Ranasinghe
AAML
30
14
0
31 Jan 2022
RamBoAttack: A Robust Query Efficient Deep Neural Network Decision
  Exploit
RamBoAttack: A Robust Query Efficient Deep Neural Network Decision Exploit
Viet Vo
Ehsan Abbasnejad
Damith C. Ranasinghe
AAML
17
9
0
10 Dec 2021
Composite Adversarial Attacks
Composite Adversarial Attacks
Xiaofeng Mao
YueFeng Chen
Shuhui Wang
Hang Su
Yuan He
Hui Xue
AAML
33
48
0
10 Dec 2020
Global Robustness Verification Networks
Global Robustness Verification Networks
Weidi Sun
Yuteng Lu
Xiyue Zhang
Zhanxing Zhu
Meng Sun
AAML
13
2
0
08 Jun 2020
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
287
5,842
0
08 Jul 2016
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