Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2012.12235
Cited By
Unadversarial Examples: Designing Objects for Robust Vision
Neural Information Processing Systems (NeurIPS), 2020
22 December 2020
Hadi Salman
Andrew Ilyas
Logan Engstrom
Sai H. Vemprala
Aleksander Madry
Ashish Kapoor
WIGM
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Unadversarial Examples: Designing Objects for Robust Vision"
43 / 43 papers shown
ALMGuard: Safety Shortcuts and Where to Find Them as Guardrails for Audio-Language Models
Weifei Jin
Yuxin Cao
Junjie Su
Minhui Xue
Jie Hao
Ke Xu
Jin Song Dong
Derui Wang
AAML
160
2
0
30 Oct 2025
Domain Adaptive Diabetic Retinopathy Grading with Model Absence and Flowing Data
Computer Vision and Pattern Recognition (CVPR), 2024
Wenxin Su
Song Tang
Xiaofeng Liu
Xiaojing Yi
Mao Ye
Chunxiao Zu
Jiahao Li
Xiatian Zhu
OOD
MedIm
359
0
0
02 Dec 2024
RED: Robust Environmental Design
Jinghan Yan
AAML
306
0
0
26 Nov 2024
Tri-Level Navigator: LLM-Empowered Tri-Level Learning for Time Series OOD Generalization
Neural Information Processing Systems (NeurIPS), 2024
Chengtao Jian
Kai Yang
Yang Jiao
AI4TS
459
15
0
09 Oct 2024
Proactive Schemes: A Survey of Adversarial Attacks for Social Good
Vishal Asnani
Xi Yin
Xiaoming Liu
AAML
431
2
0
24 Sep 2024
Towards Adversarial Robustness via Debiased High-Confidence Logit Alignment
Kejia Zhang
Juanjuan Weng
Shaozi Li
Shaozi Li
AAML
444
4
0
12 Aug 2024
RADIUM: Predicting and Repairing End-to-End Robot Failures using Gradient-Accelerated Sampling
IEEE Transactions on robotics (IEEE Trans. Robot.), 2024
Charles Dawson
Anjali Parashar
Chuchu Fan
175
0
0
04 Apr 2024
On the low-shot transferability of [V]-Mamba
Diganta Misra
Jay Gala
Antonio Orvieto
Mamba
446
2
0
15 Mar 2024
Redesigning Traffic Signs to Mitigate Machine-Learning Patch Attacks
Tsufit Shua
Liron David
Mahmood Sharif
AAML
298
0
0
07 Feb 2024
Seeing is not always believing: The Space of Harmless Perturbations
Lu Chen
Shaofeng Li
Benhao Huang
Fan Yang
Zheng Li
Jie Li
Yuan Luo
AAML
236
0
0
03 Feb 2024
Universal Perturbation-based Secret Key-Controlled Data Hiding
Donghua Wang
Wenbiao Yao
Tingsong Jiang
Xiaoqian Chen
AAML
330
0
0
03 Nov 2023
Adversarial Examples in the Physical World: A Survey
Jinyang Guo
Xianglong Liu
Jin Hu
Donghua Wang
Siyang Wu
Tingsong Jiang
Wenbiao Yao
Aishan Liu
Aishan Liu
Jiantao Zhou
AAML
449
10
0
01 Nov 2023
Adversarial Machine Learning for Social Good: Reframing the Adversary as an Ally
IEEE Transactions on Artificial Intelligence (IEEE TAI), 2023
Shawqi Al-Maliki
Adnan Qayyum
Hassan Ali
M. Abdallah
Junaid Qadir
D. Hoang
Dusit Niyato
Ala I. Al-Fuqaha
AAML
403
7
0
05 Oct 2023
Uncovering the Hidden Cost of Model Compression
Diganta Misra
Muawiz Chaudhary
Agam Goyal
Bharat Runwal
Pin-Yu Chen
VLM
365
5
0
29 Aug 2023
NSA: Naturalistic Support Artifact to Boost Network Confidence
IEEE International Joint Conference on Neural Network (IJCNN), 2023
Abhijith Sharma
Phil Munz
Apurva Narayan
AAML
269
1
0
27 Jul 2023
Area is all you need: repeatable elements make stronger adversarial attacks
D. Niederhut
AAML
224
0
0
13 Jun 2023
Challenges and Remedies to Privacy and Security in AIGC: Exploring the Potential of Privacy Computing, Blockchain, and Beyond
Chuan Chen
Zhenpeng Wu
Yan-Hao Lai
Wen-chao Ou
Tianchi Liao
Zibin Zheng
540
45
0
01 Jun 2023
The Best Defense is a Good Offense: Adversarial Augmentation against Adversarial Attacks
Computer Vision and Pattern Recognition (CVPR), 2023
I. Frosio
Jan Kautz
AAML
319
30
0
23 May 2023
A Plug-and-Play Defensive Perturbation for Copyright Protection of DNN-based Applications
Donghua Wang
Wen Yao
Tingsong Jiang
Weien Zhou
Lang Lin
Xiaoqian Chen
AAML
346
4
0
20 Apr 2023
Model Monitoring and Robustness of In-Use Machine Learning Models: Quantifying Data Distribution Shifts Using Population Stability Index
A. Khademi
M. Hopka
Devesh Upadhyay
OOD
249
4
0
01 Feb 2023
Task Bias in Vision-Language Models
Sachit Menon
I. Chandratreya
Carl Vondrick
VLM
SSL
167
7
0
08 Dec 2022
Building Resilience to Out-of-Distribution Visual Data via Input Optimization and Model Finetuning
Christopher J. Holder
Majid Khonji
Jorge Dias
Mohamed Bennai
197
0
0
29 Nov 2022
Understanding and Improving Visual Prompting: A Label-Mapping Perspective
Computer Vision and Pattern Recognition (CVPR), 2022
Chenyi Zi
Yuguang Yao
Pin-Yu Chen
Yihua Zhang
Sijia Liu
VPVLM
VLM
689
104
0
21 Nov 2022
The Enemy of My Enemy is My Friend: Exploring Inverse Adversaries for Improving Adversarial Training
Computer Vision and Pattern Recognition (CVPR), 2022
Junhao Dong
Seyed-Mohsen Moosavi-Dezfooli
Jianhuang Lai
Xiaohua Xie
AAML
365
45
0
01 Nov 2022
Evolution of Neural Tangent Kernels under Benign and Adversarial Training
Neural Information Processing Systems (NeurIPS), 2022
Noel Loo
Ramin Hasani
Alexander Amini
Daniela Rus
AAML
352
15
0
21 Oct 2022
Visual Prompting for Adversarial Robustness
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Chenyi Zi
P. Lorenz
Yuguang Yao
Pin-Yu Chen
Sijia Liu
VLM
VPVLM
605
46
0
12 Oct 2022
Adversarial Attack Against Image-Based Localization Neural Networks
Meir Brand
I. Naeh
Daniel Teitelman
AAML
223
1
0
11 Oct 2022
A Survey on Physical Adversarial Attack in Computer Vision
Donghua Wang
Wen Yao
Tingsong Jiang
Guijian Tang
Xiaoqian Chen
AAML
718
51
0
28 Sep 2022
Breaking Correlation Shift via Conditional Invariant Regularizer
International Conference on Learning Representations (ICLR), 2022
Mingyang Yi
Ruoyu Wang
Jiacheng Sun
Zhenguo Li
Zhi-Ming Ma
OODD
260
6
0
14 Jul 2022
Physical Passive Patch Adversarial Attacks on Visual Odometry Systems
Asian Conference on Computer Vision (ACCV), 2022
Yaniv Nemcovsky
Matan Yaakoby
A. Bronstein
Chaim Baskin
AAML
243
10
0
11 Jul 2022
Squeeze Training for Adversarial Robustness
International Conference on Learning Representations (ICLR), 2022
Qizhang Li
Yiwen Guo
W. Zuo
Hao Chen
OOD
346
18
0
23 May 2022
Defensive Patches for Robust Recognition in the Physical World
Computer Vision and Pattern Recognition (CVPR), 2022
Jinyang Guo
Zixin Yin
Pengfei Hu
Aishan Liu
Renshuai Tao
Haotong Qin
Xianglong Liu
Dacheng Tao
AAML
259
36
0
13 Apr 2022
Truth Serum: Poisoning Machine Learning Models to Reveal Their Secrets
Conference on Computer and Communications Security (CCS), 2022
Florian Tramèr
Reza Shokri
Ayrton San Joaquin
Hoang Minh Le
Matthew Jagielski
Sanghyun Hong
Nicholas Carlini
MIACV
447
142
0
31 Mar 2022
Exploring Visual Prompts for Adapting Large-Scale Models
Hyojin Bahng
Ali Jahanian
S. Sankaranarayanan
Phillip Isola
VLM
VPVLM
LRM
555
357
0
31 Mar 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
768
17
0
31 Jan 2022
Improving Robustness with Image Filtering
M. Terzi
Mattia Carletti
Gian Antonio Susto
AAML
148
1
0
21 Dec 2021
Preemptive Image Robustification for Protecting Users against Man-in-the-Middle Adversarial Attacks
Seungyong Moon
Gaon An
Hyun Oh Song
AAML
226
6
0
10 Dec 2021
Amicable Aid: Perturbing Images to Improve Classification Performance
Juyeop Kim
Jun-Ho Choi
Soobeom Jang
Jong-Seok Lee
AAML
459
2
0
09 Dec 2021
"Adversarial Examples" for Proof-of-Learning
Rui Zhang
Jian Liu
Yuan Ding
Zhibo Wu
Qing Wu
K. Ren
AAML
259
40
0
21 Aug 2021
Simulated Adversarial Testing of Face Recognition Models
Computer Vision and Pattern Recognition (CVPR), 2021
Nataniel Ruiz
Adam Kortylewski
Weichao Qiu
Cihang Xie
Sarah Adel Bargal
Alan Yuille
Stan Sclaroff
AAML
CVBM
277
16
0
08 Jun 2021
Improved OOD Generalization via Adversarial Training and Pre-training
International Conference on Machine Learning (ICML), 2021
Mingyang Yi
Lu Hou
Jiacheng Sun
Lifeng Shang
Xin Jiang
Qun Liu
Zhi-Ming Ma
VLM
192
97
0
24 May 2021
Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training
Neural Information Processing Systems (NeurIPS), 2021
Lue Tao
Lei Feng
Jinfeng Yi
Sheng-Jun Huang
Songcan Chen
AAML
573
84
0
09 Feb 2021
With False Friends Like These, Who Can Notice Mistakes?
AAAI Conference on Artificial Intelligence (AAAI), 2020
Lue Tao
Lei Feng
Jinfeng Yi
Songcan Chen
AAML
485
6
0
29 Dec 2020
1
Page 1 of 1
![On the low-shot transferability of [V]-Mamba](https://cdn.parameterlab.de/resized-images/aHR0cHM6Ly9jZG4ucGFyYW1ldGVybGFiLmRlL3BhcGVycy8yNDAzLjEwNjk2L3BhZ2VzL3BhZ2UtMS1xODBkMzAwLmpwZw?w=256&q=75&f=webp)
