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1907.02610
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Adversarial Robustness through Local Linearization
4 July 2019
Chongli Qin
James Martens
Sven Gowal
Dilip Krishnan
Krishnamurthy Dvijotham
Alhussein Fawzi
Soham De
Robert Stanforth
Pushmeet Kohli
AAML
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Papers citing
"Adversarial Robustness through Local Linearization"
50 / 126 papers shown
Title
Long-tailed Adversarial Training with Self-Distillation
Seungju Cho
Hongsin Lee
Changick Kim
AAML
TTA
500
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0
09 Mar 2025
TAPE: Tailored Posterior Difference for Auditing of Machine Unlearning
Weiqi Wang
Zhiyi Tian
An Liu
Shui Yu
116
1
0
27 Feb 2025
SepsisLab: Early Sepsis Prediction with Uncertainty Quantification and Active Sensing
Changchang Yin
Ruoqi Liu
Bingsheng Yao
Dongdong Zhang
Jeffrey Caterino
Ping Zhang
84
42
0
24 Jul 2024
MALT Powers Up Adversarial Attacks
Odelia Melamed
Gilad Yehudai
Adi Shamir
AAML
54
0
0
02 Jul 2024
Robust optimization for adversarial learning with finite sample complexity guarantees
André Bertolace
Konstatinos Gatsis
Kostas Margellos
AAML
66
1
0
22 Mar 2024
Indirect Gradient Matching for Adversarial Robust Distillation
Hongsin Lee
Seungju Cho
Changick Kim
AAML
FedML
102
2
0
06 Dec 2023
Robustified ANNs Reveal Wormholes Between Human Category Percepts
Guy Gaziv
Michael J. Lee
J. DiCarlo
AAML
75
7
0
14 Aug 2023
Decentralized Adversarial Training over Graphs
Ying Cao
Elsa Rizk
Stefan Vlaski
Ali H. Sayed
AAML
168
1
0
23 Mar 2023
Revisiting DeepFool: generalization and improvement
Alireza Abdollahpourrostam
Mahed Abroshan
Seyed-Mohsen Moosavi-Dezfooli
AAML
77
2
0
22 Mar 2023
TWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization
Ziquan Liu
Yi Tian Xu
Xiangyang Ji
Antoni B. Chan
AAML
58
18
0
20 Mar 2023
Phase-shifted Adversarial Training
Yeachan Kim
Seongyeon Kim
Ihyeok Seo
Bonggun Shin
AAML
OOD
68
0
0
12 Jan 2023
Revisiting Residual Networks for Adversarial Robustness: An Architectural Perspective
Shihua Huang
Zhichao Lu
Kalyanmoy Deb
Vishnu Boddeti
OOD
102
45
0
21 Dec 2022
DISCO: Adversarial Defense with Local Implicit Functions
Chih-Hui Ho
Nuno Vasconcelos
AAML
130
39
0
11 Dec 2022
Understanding and Combating Robust Overfitting via Input Loss Landscape Analysis and Regularization
Lin Li
Michael W. Spratling
AAML
92
35
0
09 Dec 2022
Towards More Robust Interpretation via Local Gradient Alignment
Sunghwan Joo
Seokhyeon Jeong
Juyeon Heo
Adrian Weller
Taesup Moon
FAtt
88
6
0
29 Nov 2022
Boundary Adversarial Examples Against Adversarial Overfitting
Muhammad Zaid Hameed
Beat Buesser
AAML
62
1
0
25 Nov 2022
Stable and Efficient Adversarial Training through Local Linearization
Zhuorong Li
Daiwei Yu
AAML
32
0
0
11 Oct 2022
Boosting Adversarial Robustness From The Perspective of Effective Margin Regularization
Ziquan Liu
Antoni B. Chan
AAML
60
5
0
11 Oct 2022
Why neural networks find simple solutions: the many regularizers of geometric complexity
Benoit Dherin
Michael Munn
M. Rosca
David Barrett
135
32
0
27 Sep 2022
State-driven Implicit Modeling for Sparsity and Robustness in Neural Networks
Alicia Y. Tsai
Juliette Decugis
L. Ghaoui
Alper Atamtürk
92
3
0
19 Sep 2022
Part-Based Models Improve Adversarial Robustness
Chawin Sitawarin
Kornrapat Pongmala
Yizheng Chen
Nicholas Carlini
David Wagner
105
12
0
15 Sep 2022
Improving Robust Fairness via Balance Adversarial Training
Chunyu Sun
Chenye Xu
Chengyuan Yao
Siyuan Liang
Yichao Wu
Ding Liang
XiangLong Liu
Aishan Liu
54
11
0
15 Sep 2022
Enhancing Diffusion-Based Image Synthesis with Robust Classifier Guidance
Bahjat Kawar
Roy Ganz
Michael Elad
DiffM
91
39
0
18 Aug 2022
Do Perceptually Aligned Gradients Imply Adversarial Robustness?
Roy Ganz
Bahjat Kawar
Michael Elad
AAML
67
10
0
22 Jul 2022
Towards Efficient Adversarial Training on Vision Transformers
Boxi Wu
Jindong Gu
Zhifeng Li
Deng Cai
Xiaofei He
Wei Liu
ViT
AAML
108
40
0
21 Jul 2022
Decorrelative Network Architecture for Robust Electrocardiogram Classification
Christopher Wiedeman
Ge Wang
OOD
79
2
0
19 Jul 2022
Adversarial Attacks on Monocular Pose Estimation
Hemang Chawla
Arnav Varma
Elahe Arani
Bahram Zonooz
AAML
MDE
49
10
0
14 Jul 2022
Adversarially trained neural representations may already be as robust as corresponding biological neural representations
Chong Guo
Michael J. Lee
Guillaume Leclerc
Joel Dapello
Yug Rao
Aleksander Madry
J. DiCarlo
GAN
AAML
50
13
0
19 Jun 2022
Catastrophic overfitting can be induced with discriminative non-robust features
Guillermo Ortiz-Jiménez
Pau de Jorge
Amartya Sanyal
Adel Bibi
P. Dokania
P. Frossard
Grégory Rogez
Philip Torr
AAML
61
3
0
16 Jun 2022
Efficiently Training Low-Curvature Neural Networks
Suraj Srinivas
Kyle Matoba
Himabindu Lakkaraju
François Fleuret
AAML
92
16
0
14 Jun 2022
Distributed Adversarial Training to Robustify Deep Neural Networks at Scale
Gaoyuan Zhang
Songtao Lu
Yihua Zhang
Xiangyi Chen
Pin-Yu Chen
Quanfu Fan
Lee Martie
L. Horesh
Min-Fong Hong
Sijia Liu
OOD
73
12
0
13 Jun 2022
Guided Diffusion Model for Adversarial Purification
Jinyi Wang
Zhaoyang Lyu
Dahua Lin
Bo Dai
Hongfei Fu
DiffM
279
90
0
30 May 2022
EBM Life Cycle: MCMC Strategies for Synthesis, Defense, and Density Modeling
Mitch Hill
Jonathan Mitchell
Chu Chen
Yuan Du
M. Shah
Song-Chun Zhu
33
0
0
24 May 2022
On Trace of PGD-Like Adversarial Attacks
Mo Zhou
Vishal M. Patel
AAML
75
4
0
19 May 2022
How Does Frequency Bias Affect the Robustness of Neural Image Classifiers against Common Corruption and Adversarial Perturbations?
Alvin Chan
Yew-Soon Ong
Clement Tan
AAML
60
14
0
09 May 2022
MIRST-DM: Multi-Instance RST with Drop-Max Layer for Robust Classification of Breast Cancer
Shoukun Sun
Min Xian
Aleksandar Vakanski
Hossny Ghanem
OOD
38
4
0
02 May 2022
Narcissus: A Practical Clean-Label Backdoor Attack with Limited Information
Yi Zeng
Minzhou Pan
H. Just
Lingjuan Lyu
M. Qiu
R. Jia
AAML
96
181
0
11 Apr 2022
Verification-Aided Deep Ensemble Selection
Guy Amir
Tom Zelazny
Guy Katz
Michael Schapira
AAML
114
18
0
08 Feb 2022
Class-Incremental Continual Learning into the eXtended DER-verse
Matteo Boschini
Lorenzo Bonicelli
Pietro Buzzega
Angelo Porrello
Simone Calderara
CLL
BDL
109
142
0
03 Jan 2022
On the Adversarial Robustness of Causal Algorithmic Recourse
Ricardo Dominguez-Olmedo
Amir-Hossein Karimi
Bernhard Schölkopf
103
64
0
21 Dec 2021
Improving Robustness with Image Filtering
M. Terzi
Mattia Carletti
Gian Antonio Susto
AAML
60
0
0
21 Dec 2021
Pyramid Adversarial Training Improves ViT Performance
Charles Herrmann
Kyle Sargent
Lu Jiang
Ramin Zabih
Huiwen Chang
Ce Liu
Dilip Krishnan
Deqing Sun
ViT
118
59
0
30 Nov 2021
Data Augmentation Can Improve Robustness
Sylvestre-Alvise Rebuffi
Sven Gowal
D. A. Calian
Florian Stimberg
Olivia Wiles
Timothy A. Mann
AAML
65
293
0
09 Nov 2021
Get Fooled for the Right Reason: Improving Adversarial Robustness through a Teacher-guided Curriculum Learning Approach
A. Sarkar
Anirban Sarkar
Sowrya Gali
V. Balasubramanian
AAML
52
7
0
30 Oct 2021
How and When Adversarial Robustness Transfers in Knowledge Distillation?
Rulin Shao
Ming Zhou
Cor-Paul Bezemer
Cho-Jui Hsieh
AAML
74
19
0
22 Oct 2021
Parameterizing Activation Functions for Adversarial Robustness
Sihui Dai
Saeed Mahloujifar
Prateek Mittal
AAML
84
32
0
11 Oct 2021
Efficient Sharpness-aware Minimization for Improved Training of Neural Networks
Jiawei Du
Hanshu Yan
Jiashi Feng
Qiufeng Wang
Liangli Zhen
Rick Siow Mong Goh
Vincent Y. F. Tan
AAML
195
135
0
07 Oct 2021
Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models
Kun Zhou
Wayne Xin Zhao
Sirui Wang
Fuzheng Zhang
Wei Wu
Ji-Rong Wen
AAML
56
8
0
13 Sep 2021
Towards Zero-shot Commonsense Reasoning with Self-supervised Refinement of Language Models
T. Klein
Moin Nabi
ReLM
LRM
91
9
0
10 Sep 2021
Utilizing Adversarial Targeted Attacks to Boost Adversarial Robustness
Uriya Pesso
Koby Bibas
M. Feder
AAML
32
2
0
04 Sep 2021
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