Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1711.00851
Cited By
v1
v2
v3 (latest)
Provable defenses against adversarial examples via the convex outer adversarial polytope
2 November 2017
Eric Wong
J. Zico Kolter
AAML
Re-assign community
ArXiv (abs)
PDF
HTML
Github (387★)
Papers citing
"Provable defenses against adversarial examples via the convex outer adversarial polytope"
50 / 957 papers shown
Toward Robust Spiking Neural Network Against Adversarial Perturbation
Neural Information Processing Systems (NeurIPS), 2022
Ling Liang
Kaidi Xu
Xing Hu
Lei Deng
Yuan Xie
AAML
159
21
0
12 Apr 2022
3DeformRS: Certifying Spatial Deformations on Point Clouds
Computer Vision and Pattern Recognition (CVPR), 2022
S. GabrielPérez
Juan C. Pérez
Motasem Alfarra
Silvio Giancola
Guohao Li
3DPC
224
14
0
12 Apr 2022
A Simple Approach to Adversarial Robustness in Few-shot Image Classification
Akshayvarun Subramanya
Hamed Pirsiavash
VLM
146
6
0
11 Apr 2022
Comparative Analysis of Interval Reachability for Robust Implicit and Feedforward Neural Networks
IEEE Conference on Decision and Control (CDC), 2022
A. Davydov
Saber Jafarpour
Matthew Abate
Francesco Bullo
Samuel Coogan
130
3
0
01 Apr 2022
How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective
International Conference on Learning Representations (ICLR), 2022
Yimeng Zhang
Yuguang Yao
Jinghan Jia
Jinfeng Yi
Min-Fong Hong
Shiyu Chang
Sijia Liu
AAML
316
39
0
27 Mar 2022
Reverse Engineering of Imperceptible Adversarial Image Perturbations
International Conference on Learning Representations (ICLR), 2022
Yifan Gong
Yuguang Yao
Yize Li
Yimeng Zhang
Xiaoming Liu
Xinyu Lin
Sijia Liu
AAML
278
24
0
26 Mar 2022
A Survey of Robust Adversarial Training in Pattern Recognition: Fundamental, Theory, and Methodologies
Pattern Recognition (Pattern Recogn.), 2022
Zhuang Qian
Kaizhu Huang
Qiufeng Wang
Xu-Yao Zhang
OOD
AAML
ObjD
246
94
0
26 Mar 2022
On Adversarial Robustness of Large-scale Audio Visual Learning
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Juncheng Billy Li
Shuhui Qu
Xinjian Li
Po-Yao (Bernie) Huang
Florian Metze
AAML
208
9
0
23 Mar 2022
Efficient Neural Network Analysis with Sum-of-Infeasibilities
International Conference on Tools and Algorithms for Construction and Analysis of Systems (TACAS), 2022
Haoze Wu
Aleksandar Zeljić
Guy Katz
Clark W. Barrett
AAML
264
35
0
19 Mar 2022
Do Deep Networks Transfer Invariances Across Classes?
International Conference on Learning Representations (ICLR), 2022
Allan Zhou
Fahim Tajwar
Avi Schwarzschild
Tom Knowles
George J. Pappas
Hamed Hassani
Chelsea Finn
OOD
127
19
0
18 Mar 2022
On the Properties of Adversarially-Trained CNNs
Mattia Carletti
M. Terzi
Gian Antonio Susto
AAML
156
1
0
17 Mar 2022
On the Convergence of Certified Robust Training with Interval Bound Propagation
International Conference on Learning Representations (ICLR), 2022
Yihan Wang
Zhouxing Shi
Quanquan Gu
Cho-Jui Hsieh
160
10
0
16 Mar 2022
Provable Adversarial Robustness for Fractional Lp Threat Models
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Alexander Levine
Soheil Feizi
123
2
0
16 Mar 2022
Closing the Loop: A Framework for Trustworthy Machine Learning in Power Systems
Jochen Stiasny
Samuel C. Chevalier
Rahul Nellikkath
Brynjar Sævarsson
Spyros Chatzivasileiadis
236
17
0
14 Mar 2022
Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity
Computer Vision and Pattern Recognition (CVPR), 2022
Cheng Luo
Qinliang Lin
Weicheng Xie
Bizhu Wu
Jinheng Xie
Linlin Shen
AAML
397
149
0
10 Mar 2022
Defending Black-box Skeleton-based Human Activity Classifiers
AAAI Conference on Artificial Intelligence (AAAI), 2022
He Wang
Yunfeng Diao
Zichang Tan
G. Guo
AAML
397
13
0
09 Mar 2022
A Domain-Theoretic Framework for Robustness Analysis of Neural Networks
Mathematical Structures in Computer Science (MSCS), 2022
Can Zhou
R. A. Shaikh
Yiran Li
Amin Farjudian
OOD
314
5
0
01 Mar 2022
Adversarial robustness of sparse local Lipschitz predictors
SIAM Journal on Mathematics of Data Science (SIMODS), 2022
Ramchandran Muthukumar
Jeremias Sulam
AAML
255
15
0
26 Feb 2022
Robust Probabilistic Time Series Forecasting
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Taeho Yoon
Youngsuk Park
Ernest K. Ryu
Yuyang Wang
AAML
AI4TS
187
24
0
24 Feb 2022
Transferring Adversarial Robustness Through Robust Representation Matching
USENIX Security Symposium (USENIX Security), 2022
Pratik Vaishnavi
Kevin Eykholt
Amir Rahmati
OOD
AAML
117
15
0
21 Feb 2022
Rethinking Machine Learning Robustness via its Link with the Out-of-Distribution Problem
Abderrahmen Amich
Birhanu Eshete
OOD
130
4
0
18 Feb 2022
Holistic Adversarial Robustness of Deep Learning Models
AAAI Conference on Artificial Intelligence (AAAI), 2022
Pin-Yu Chen
Sijia Liu
AAML
381
22
0
15 Feb 2022
Adversarial Attacks and Defense Methods for Power Quality Recognition
Jiwei Tian
Buhong Wang
Jing Li
Zhen Wang
Mete Ozay
AAML
222
1
0
11 Feb 2022
Towards Assessing and Characterizing the Semantic Robustness of Face Recognition
Juan C. Pérez
Motasem Alfarra
Ali K. Thabet
Pablo Arbelaez
Guohao Li
AAML
230
2
0
10 Feb 2022
Gradient Methods Provably Converge to Non-Robust Networks
Neural Information Processing Systems (NeurIPS), 2022
Gal Vardi
Gilad Yehudai
Ohad Shamir
336
29
0
09 Feb 2022
Are Transformers More Robust? Towards Exact Robustness Verification for Transformers
International Conference on Computer Safety, Reliability, and Security (SAFECOMP), 2022
B. Liao
Chih-Hong Cheng
Hasan Esen
Alois Knoll
AAML
243
3
0
08 Feb 2022
Adversarial Attack and Defense for Non-Parametric Two-Sample Tests
International Conference on Machine Learning (ICML), 2022
Xilie Xu
Jingfeng Zhang
Yifan Zhang
Masashi Sugiyama
Mohan S. Kankanhalli
AAML
339
2
0
07 Feb 2022
Layer-wise Regularized Adversarial Training using Layers Sustainability Analysis (LSA) framework
Neurocomputing (Neurocomputing), 2022
Mohammad Khalooei
M. Homayounpour
M. Amirmazlaghani
AAML
237
4
0
05 Feb 2022
LyaNet: A Lyapunov Framework for Training Neural ODEs
International Conference on Machine Learning (ICML), 2022
I. D. Rodriguez
Aaron D. Ames
Yisong Yue
227
72
0
05 Feb 2022
ObjectSeeker: Certifiably Robust Object Detection against Patch Hiding Attacks via Patch-agnostic Masking
IEEE Symposium on Security and Privacy (IEEE S&P), 2022
Chong Xiang
Alexander Valtchanov
Saeed Mahloujifar
Prateek Mittal
AAML
342
37
0
03 Feb 2022
Smoothed Embeddings for Certified Few-Shot Learning
Neural Information Processing Systems (NeurIPS), 2022
Mikhail Aleksandrovich Pautov
Olesya Kuznetsova
Nurislam Tursynbek
Aleksandr Petiushko
Ivan Oseledets
283
8
0
02 Feb 2022
Probabilistically Robust Learning: Balancing Average- and Worst-case Performance
International Conference on Machine Learning (ICML), 2022
Avi Schwarzschild
Luiz F. O. Chamon
George J. Pappas
Hamed Hassani
AAML
OOD
395
49
0
02 Feb 2022
Can Adversarial Training Be Manipulated By Non-Robust Features?
Neural Information Processing Systems (NeurIPS), 2022
Lue Tao
Lei Feng
Jianguo Huang
Jinfeng Yi
Sheng-Jun Huang
Songcan Chen
AAML
724
17
0
31 Jan 2022
TPC: Transformation-Specific Smoothing for Point Cloud Models
International Conference on Machine Learning (ICML), 2022
Wen-Hsuan Chu
Linyi Li
Yue Liu
3DPC
424
14
0
30 Jan 2022
Certifying Model Accuracy under Distribution Shifts
Aounon Kumar
Alexander Levine
Tom Goldstein
Soheil Feizi
OOD
231
8
0
28 Jan 2022
Evaluation of Neural Networks Defenses and Attacks using NDCG and Reciprocal Rank Metrics
International Journal of Information Security (JIS), 2022
Haya Brama
L. Dery
Tal Grinshpoun
AAML
176
9
0
10 Jan 2022
Efficient Global Optimization of Two-Layer ReLU Networks: Quadratic-Time Algorithms and Adversarial Training
SIAM Journal on Mathematics of Data Science (SIMODS), 2022
Yatong Bai
Tanmay Gautam
Somayeh Sojoudi
AAML
337
18
0
06 Jan 2022
On the Minimal Adversarial Perturbation for Deep Neural Networks with Provable Estimation Error
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Fabio Brau
Giulio Rossolini
Alessandro Biondi
Giorgio Buttazzo
AAML
192
12
0
04 Jan 2022
Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks
International Conference on Machine Learning (ICML), 2021
Weiran Lin
Keane Lucas
Lujo Bauer
Michael K. Reiter
Mahmood Sharif
AAML
165
5
0
28 Dec 2021
Input-Specific Robustness Certification for Randomized Smoothing
AAAI Conference on Artificial Intelligence (AAAI), 2021
Ruoxin Chen
Jie Li
Junchi Yan
Ping Li
Bin Sheng
AAML
240
21
0
21 Dec 2021
Provable Adversarial Robustness in the Quantum Model
Khashayar Barooti
Grzegorz Gluch
R. Urbanke
AAML
OOD
120
1
0
17 Dec 2021
Robust Upper Bounds for Adversarial Training
Dimitris Bertsimas
Xavier Boix
Kimberly Villalobos Carballo
D. Hertog
AAML
177
1
0
17 Dec 2021
On the Convergence and Robustness of Adversarial Training
Yisen Wang
Jiabo He
James Bailey
Jinfeng Yi
Bowen Zhou
Quanquan Gu
AAML
577
370
0
15 Dec 2021
Ensuring DNN Solution Feasibility for Optimization Problems with Convex Constraints and Its Application to DC Optimal Power Flow Problems
Tianyu Zhao
Xiang Pan
Minghua Chen
S. Low
319
10
0
15 Dec 2021
On the Impact of Hard Adversarial Instances on Overfitting in Adversarial Training
Chen Liu
Zhichao Huang
Mathieu Salzmann
Tong Zhang
Sabine Süsstrunk
AAML
325
14
0
14 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
231
17
0
12 Dec 2021
Improving the Transferability of Adversarial Examples with Resized-Diverse-Inputs, Diversity-Ensemble and Region Fitting
Junhua Zou
Zhisong Pan
Junyang Qiu
Xin Liu
Ting Rui
Wei Li
210
75
0
11 Dec 2021
Preemptive Image Robustification for Protecting Users against Man-in-the-Middle Adversarial Attacks
Seungyong Moon
Gaon An
Hyun Oh Song
AAML
147
5
0
10 Dec 2021
Robustness Certificates for Implicit Neural Networks: A Mixed Monotone Contractive Approach
Saber Jafarpour
Matthew Abate
A. Davydov
Francesco Bullo
Samuel Coogan
AAML
137
10
0
10 Dec 2021
The Fundamental Limits of Interval Arithmetic for Neural Networks
M. Mirman
Maximilian Baader
Martin Vechev
132
8
0
09 Dec 2021
Previous
1
2
3
...
6
7
8
...
18
19
20
Next
Page 7 of 20
Page
of 20
Go
