Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1802.08686
Cited By
v1
v2 (latest)
Adversarial vulnerability for any classifier
23 February 2018
Alhussein Fawzi
Hamza Fawzi
Omar Fawzi
AAML
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Adversarial vulnerability for any classifier"
50 / 162 papers shown
Nearest Neighbor Projection Removal Adversarial Training
Himanshu Singh
A. V. Subramanyam
Shivank Rajput
Mohan Kankanhalli
AAML
261
0
0
10 Apr 2026
Existence of Adversarial Examples for Random Convolutional Networks via Isoperimetric Inequalities on
s
o
(
d
)
\mathbb{so}(d)
so
(
d
)
Annual Conference Computational Learning Theory (COLT), 2025
Amit Daniely
191
0
0
14 Jun 2025
GradEscape: A Gradient-Based Evader Against AI-Generated Text Detectors
Wenlong Meng
Shuguo Fan
Chengkun Wei
Min Chen
Yuwei Li
Yuanchao Zhang
Zhikun Zhang
Wenzhi Chen
272
1
0
09 Jun 2025
Shifting the Paradigm: A Diffeomorphism Between Time Series Data Manifolds for Achieving Shift-Invariancy in Deep Learning
International Conference on Learning Representations (ICLR), 2025
B. U. Demirel
Christian Holz
OOD
AI4TS
286
6
0
27 Feb 2025
Scanning Trojaned Models Using Out-of-Distribution Samples
Hossein Mirzaei
Ali Ansari
Bahar Dibaei Nia
Mojtaba Nafez
Moein Madadi
...
Kian Shamsaie
Mahdi Hajialilue
Jafar Habibi
Mohammad Sabokrou
M. Rohban
OODD
401
5
0
28 Jan 2025
Computable Model-Independent Bounds for Adversarial Quantum Machine Learning
IEEE Transactions on Quantum Engineering (IEEE Trans. Quantum Eng.), 2024
Bacui Li
T. Alpcan
Chandra Thapa
Udaya Parampalli
AAML
276
0
0
11 Nov 2024
Adversarial Detection with a Dynamically Stable System
Xiaowei Long
Jie Lin
Xiangyuan Yang
AAML
243
0
0
11 Nov 2024
Golyadkin's Torment: Doppelgängers and Adversarial Vulnerability
George I. Kamberov
AAML
148
0
0
17 Oct 2024
Towards Adversarial Robustness via Debiased High-Confidence Logit Alignment
Kejia Zhang
Juanjuan Weng
Shaozi Li
Shaozi Li
AAML
439
3
0
12 Aug 2024
MALT Powers Up Adversarial Attacks
Odelia Melamed
Gilad Yehudai
Adi Shamir
AAML
300
1
0
02 Jul 2024
Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers
Jonas Ngnawé
Sabyasachi Sahoo
Y. Pequignot
Frédéric Precioso
Christian Gagné
AAML
401
6
0
26 Jun 2024
On the Computability of Robust PAC Learning
Annual Conference Computational Learning Theory (COLT), 2024
Pascale Gourdeau
Tosca Lechner
Ruth Urner
431
6
0
14 Jun 2024
The Price of Implicit Bias in Adversarially Robust Generalization
Neural Information Processing Systems (NeurIPS), 2024
Nikolaos Tsilivis
Natalie Frank
Nathan Srebro
Julia Kempe
354
5
0
07 Jun 2024
Sok: Comprehensive Security Overview, Challenges, and Future Directions of Voice-Controlled Systems
Haozhe Xu
Cong Wu
Yangyang Gu
Xingcan Shang
Jing Chen
Kun He
Ruiying Du
338
5
0
27 May 2024
Can Implicit Bias Imply Adversarial Robustness?
Hancheng Min
Rene Vidal
383
7
0
24 May 2024
Fermi-Bose Machine achieves both generalization and adversarial robustness
Mingshan Xie
Yuchen Wang
Haiping Huang
AAML
227
1
0
21 Apr 2024
Robustness bounds on the successful adversarial examples in probabilistic models: Implications from Gaussian processes
Hiroaki Maeshima
Akira Otsuka
AAML
350
0
0
04 Mar 2024
Evaluating the Robustness of Off-Road Autonomous Driving Segmentation against Adversarial Attacks: A Dataset-Centric analysis
Pankaj Deoli
Rohit Kumar
A. Vierling
Karsten Berns
468
4
0
03 Feb 2024
On The Relationship Between Universal Adversarial Attacks And Sparse Representations
IEEE Open Journal of Signal Processing (IEEE Open J. Signal Process.), 2023
Dana Weitzner
Raja Giryes
AAML
338
0
0
14 Nov 2023
Adversarial Examples Might be Avoidable: The Role of Data Concentration in Adversarial Robustness
Neural Information Processing Systems (NeurIPS), 2023
Ambar Pal
Huaijin Hao
Rene Vidal
327
11
0
28 Sep 2023
A reading survey on adversarial machine learning: Adversarial attacks and their understanding
Shashank Kotyan
AAML
204
11
0
07 Aug 2023
Exploiting Frequency Spectrum of Adversarial Images for General Robustness
Chun Yang Tan
K. Kawamoto
Hiroshi Kera
AAML
OOD
198
1
0
15 May 2023
Investigating the Corruption Robustness of Image Classifiers with Random Lp-norm Corruptions
George J. Siedel
Weijia Shao
S. Vock
Andrey Morozov
452
4
0
09 May 2023
It Is All About Data: A Survey on the Effects of Data on Adversarial Robustness
ACM Computing Surveys (ACM Comput. Surv.), 2023
Peiyu Xiong
Michael W. Tegegn
Jaskeerat Singh Sarin
Shubhraneel Pal
Julia Rubin
SILM
AAML
410
16
0
17 Mar 2023
The Double-Edged Sword of Implicit Bias: Generalization vs. Robustness in ReLU Networks
Neural Information Processing Systems (NeurIPS), 2023
Spencer Frei
Gal Vardi
Peter L. Bartlett
Nathan Srebro
257
23
0
02 Mar 2023
Adversarial Examples Exist in Two-Layer ReLU Networks for Low Dimensional Linear Subspaces
Neural Information Processing Systems (NeurIPS), 2023
Odelia Melamed
Gilad Yehudai
Gal Vardi
GAN
338
8
0
01 Mar 2023
Linking convolutional kernel size to generalization bias in face analysis CNNs
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Hao Liang
J. O. Caro
Vikram Maheshri
Ankit B. Patel
Guha Balakrishnan
CVBM
CML
371
1
0
07 Feb 2023
When are Local Queries Useful for Robust Learning?
Neural Information Processing Systems (NeurIPS), 2022
Pascale Gourdeau
Varun Kanade
Marta Z. Kwiatkowska
J. Worrell
OOD
440
1
0
12 Oct 2022
On the Robustness of Bayesian Neural Networks to Adversarial Attacks
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Luca Bortolussi
Ginevra Carbone
Luca Laurenti
A. Patané
G. Sanguinetti
Matthew Wicker
AAML
343
18
0
13 Jul 2022
Defense Against Multi-target Trojan Attacks
Haripriya Harikumar
Santu Rana
Kien Do
Sunil R. Gupta
W. Zong
Willy Susilo
Svetha Venkatesh
AAML
222
4
0
08 Jul 2022
Adversarial Example Detection in Deployed Tree Ensembles
Laurens Devos
Wannes Meert
Jesse Davis
AAML
176
2
0
27 Jun 2022
Adversarial Noises Are Linearly Separable for (Nearly) Random Neural Networks
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Huishuai Zhang
Da Yu
Yiping Lu
Di He
AAML
367
2
0
09 Jun 2022
Sample Complexity Bounds for Robustly Learning Decision Lists against Evasion Attacks
International Joint Conference on Artificial Intelligence (IJCAI), 2022
Pascale Gourdeau
Varun Kanade
Marta Z. Kwiatkowska
J. Worrell
AAML
231
5
0
12 May 2022
Holistic Approach to Measure Sample-level Adversarial Vulnerability and its Utility in Building Trustworthy Systems
Gaurav Kumar Nayak
Ruchit Rawal
Rohit Lal
Himanshu Patil
Anirban Chakraborty
AAML
205
2
0
05 May 2022
Adversarial Fine-tune with Dynamically Regulated Adversary
IEEE International Joint Conference on Neural Network (IJCNN), 2022
Peng-Fei Hou
Ming Zhou
Jie Han
Petr Musílek
Xingyu Li
AAML
177
4
0
28 Apr 2022
When adversarial examples are excusable
Pieter-Jan Kindermans
Charles Staats
AAML
128
0
0
25 Apr 2022
Scalable Whitebox Attacks on Tree-based Models
Giuseppe Castiglione
G. Ding
Masoud Hashemi
C. Srinivasa
Ga Wu
AAML
230
4
0
31 Mar 2022
Adversarial Examples in Random Neural Networks with General Activations
Mathematical Statistics and Learning (MSL), 2022
Andrea Montanari
Yuchen Wu
GAN
AAML
331
16
0
31 Mar 2022
Origins of Low-dimensional Adversarial Perturbations
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Elvis Dohmatob
Chuan Guo
Morgane Goibert
AAML
272
4
0
25 Mar 2022
A Manifold View of Adversarial Risk
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Wen-jun Zhang
Yikai Zhang
Xiaoling Hu
Mayank Goswami
Chao Chen
Dimitris N. Metaxas
AAML
264
8
0
24 Mar 2022
Adversarial robustness of sparse local Lipschitz predictors
SIAM Journal on Mathematics of Data Science (SIMODS), 2022
Ramchandran Muthukumar
Jeremias Sulam
AAML
286
16
0
26 Feb 2022
Towards Effective and Robust Neural Trojan Defenses via Input Filtering
European Conference on Computer Vision (ECCV), 2022
Kien Do
Haripriya Harikumar
Hung Le
D. Nguyen
T. Tran
Santu Rana
Dang Nguyen
Willy Susilo
Svetha Venkatesh
AAML
322
13
0
24 Feb 2022
Gradient Methods Provably Converge to Non-Robust Networks
Neural Information Processing Systems (NeurIPS), 2022
Gal Vardi
Gilad Yehudai
Ohad Shamir
366
30
0
09 Feb 2022
Layer-wise Regularized Adversarial Training using Layers Sustainability Analysis (LSA) framework
Neurocomputing (Neurocomputing), 2022
Mohammad Khalooei
M. Homayounpour
M. Amirmazlaghani
AAML
292
4
0
05 Feb 2022
Benign Overfitting in Adversarially Robust Linear Classification
Conference on Uncertainty in Artificial Intelligence (UAI), 2021
Jinghui Chen
Yuan Cao
Quanquan Gu
AAML
SILM
300
12
0
31 Dec 2021
Interpolated Joint Space Adversarial Training for Robust and Generalizable Defenses
Chun Pong Lau
Jiang-Long Liu
Hossein Souri
Wei-An Lin
Soheil Feizi
Ramalingam Chellappa
AAML
261
18
0
12 Dec 2021
Image classifiers can not be made robust to small perturbations
Zheng Dai
David K Gifford
VLM
AAML
237
1
0
07 Dec 2021
Robustness of Bayesian Neural Networks to White-Box Adversarial Attacks
Adaku Uchendu
Daniel Campoy
Christopher Menart
Alexandra Hildenbrandt
BDL
AAML
311
5
0
16 Nov 2021
On some theoretical limitations of Generative Adversarial Networks
Benoit Oriol
Alexandre Miot
GAN
240
4
0
21 Oct 2021
Trustworthy AI: From Principles to Practices
Yue Liu
Peng Qi
Bo Liu
Shuai Di
Jingen Liu
Jiquan Pei
Jinfeng Yi
Bowen Zhou
563
575
0
04 Oct 2021
1
2
3
4
Next
Page 1 of 4
