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1602.02697
Cited By
Practical Black-Box Attacks against Machine Learning
8 February 2016
Nicolas Papernot
Patrick McDaniel
Ian Goodfellow
S. Jha
Z. Berkay Celik
A. Swami
MLAU
AAML
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Papers citing
"Practical Black-Box Attacks against Machine Learning"
26 / 26 papers shown
Title
How Do Diffusion Models Improve Adversarial Robustness?
Liu Yuezhang
Xue-Xin Wei
49
0
0
28 May 2025
Towards Model Resistant to Transferable Adversarial Examples via Trigger Activation
Yi Yu
Song Xia
Xun Lin
Chenqi Kong
Wenhan Yang
Shijian Lu
Yap-Peng Tan
Alex C. Kot
AAML
SILM
398
0
0
20 Apr 2025
Examining the Threat Landscape: Foundation Models and Model Stealing
Ankita Raj
Deepankar Varma
Chetan Arora
AAML
161
1
0
25 Feb 2025
SEA: Shareable and Explainable Attribution for Query-based Black-box Attacks
Yue Gao
Ilia Shumailov
Kassem Fawaz
AAML
169
0
0
21 Feb 2025
CaFA: Cost-aware, Feasible Attacks With Database Constraints Against Neural Tabular Classifiers
Matan Ben-Tov
Daniel Deutch
Nave Frost
Mahmood Sharif
AAML
147
0
0
20 Jan 2025
Protego: Detecting Adversarial Examples for Vision Transformers via Intrinsic Capabilities
Jialin Wu
Kaikai Pan
Yanjiao Chen
Jiangyi Deng
Shengyuan Pang
Wenyuan Xu
ViT
AAML
59
0
0
13 Jan 2025
Fall Leaf Adversarial Attack on Traffic Sign Classification
Anthony Etim
Jakub Szefer
AAML
106
3
0
27 Nov 2024
In-Context Experience Replay Facilitates Safety Red-Teaming of Text-to-Image Diffusion Models
Zhi-Yi Chin
Kuan-Chen Mu
Mario Fritz
Pin-Yu Chen
DiffM
108
1
0
25 Nov 2024
AdvLogo: Adversarial Patch Attack against Object Detectors based on Diffusion Models
Boming Miao
Chunxiao Li
Yao Zhu
Weixiang Sun
Zizhe Wang
Xiaoyi Wang
Chuanlong Xie
DiffM
AAML
85
1
0
11 Sep 2024
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors
Peter Lorenz
Mario Fernandez
Jens Müller
Ullrich Kothe
AAML
95
1
0
21 Jun 2024
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems
Guangjing Wang
Ce Zhou
Yuanda Wang
Bocheng Chen
Hanqing Guo
Qiben Yan
AAML
SILM
88
3
0
20 Nov 2023
Adversarial Evasion Attacks Practicality in Networks: Testing the Impact of Dynamic Learning
Mohamed el Shehaby
Ashraf Matrawy
AAML
53
7
0
08 Jun 2023
MOVE: Effective and Harmless Ownership Verification via Embedded External Features
Yiming Li
Linghui Zhu
Xiaojun Jia
Yang Bai
Yong Jiang
Shutao Xia
Xiaochun Cao
Kui Ren
AAML
71
13
0
04 Aug 2022
Practical No-box Adversarial Attacks with Training-free Hybrid Image Transformation
Qilong Zhang
Chaoning Zhang
Chaoning Zhang
Chaoqun Li
Xuanhan Wang
Jingkuan Song
Lianli Gao
AAML
68
21
0
09 Mar 2022
Sinkhorn Distributionally Robust Optimization
Jie Wang
Rui Gao
Yao Xie
62
37
0
24 Sep 2021
2-in-1 Accelerator: Enabling Random Precision Switch for Winning Both Adversarial Robustness and Efficiency
Yonggan Fu
Yang Zhao
Qixuan Yu
Chaojian Li
Yingyan Lin
AAML
64
12
0
11 Sep 2021
Adversarial Examples on Object Recognition: A Comprehensive Survey
A. Serban
E. Poll
Joost Visser
AAML
61
73
0
07 Aug 2020
MaskedNet: The First Hardware Inference Engine Aiming Power Side-Channel Protection
Anuj Dubey
Rosario Cammarota
Aydin Aysu
AAML
38
78
0
29 Oct 2019
Thieves on Sesame Street! Model Extraction of BERT-based APIs
Kalpesh Krishna
Gaurav Singh Tomar
Ankur P. Parikh
Nicolas Papernot
Mohit Iyyer
MIACV
MLAU
65
197
0
27 Oct 2019
Generating Natural Adversarial Examples
Zhengli Zhao
Dheeru Dua
Sameer Singh
GAN
AAML
118
599
0
31 Oct 2017
Evasion Attacks against Machine Learning at Test Time
Battista Biggio
Igino Corona
Davide Maiorca
B. Nelson
Nedim Srndic
Pavel Laskov
Giorgio Giacinto
Fabio Roli
AAML
93
2,140
0
21 Aug 2017
Detecting Adversarial Image Examples in Deep Networks with Adaptive Noise Reduction
Bin Liang
Hongcheng Li
Miaoqiang Su
Xirong Li
Wenchang Shi
Xiaofeng Wang
AAML
71
216
0
23 May 2017
MTDeep: Boosting the Security of Deep Neural Nets Against Adversarial Attacks with Moving Target Defense
Sailik Sengupta
Tathagata Chakraborti
S. Kambhampati
AAML
57
63
0
19 May 2017
DeepCorrect: Correcting DNN models against Image Distortions
Tejas S. Borkar
Lina Karam
44
94
0
05 May 2017
Theano: new features and speed improvements
Frédéric Bastien
Pascal Lamblin
Razvan Pascanu
James Bergstra
Ian Goodfellow
Arnaud Bergeron
Nicolas Bouchard
David Warde-Farley
Yoshua Bengio
49
1,420
0
23 Nov 2012
Poisoning Attacks against Support Vector Machines
Battista Biggio
B. Nelson
Pavel Laskov
AAML
77
1,580
0
27 Jun 2012
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