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Combating Adversaries with Anti-Adversaries

Combating Adversaries with Anti-Adversaries

26 March 2021
Motasem Alfarra
Juan C. Pérez
Ali K. Thabet
Adel Bibi
Philip Torr
Guohao Li
    AAML
ArXivPDFHTML

Papers citing "Combating Adversaries with Anti-Adversaries"

16 / 16 papers shown
Title
Adversarial Examples in Environment Perception for Automated Driving (Review)
Adversarial Examples in Environment Perception for Automated Driving (Review)
Jun Yan
Huilin Yin
AAML
34
0
0
11 Apr 2025
CLIP is Strong Enough to Fight Back: Test-time Counterattacks towards Zero-shot Adversarial Robustness of CLIP
Songlong Xing
Zhengyu Zhao
N. Sebe
AAML
62
1
0
05 Mar 2025
AutoAdvExBench: Benchmarking autonomous exploitation of adversarial example defenses
Nicholas Carlini
Javier Rando
Edoardo Debenedetti
Milad Nasr
F. Tramèr
AAML
ELM
47
2
0
03 Mar 2025
Test-time Adversarial Defense with Opposite Adversarial Path and High Attack Time Cost
Test-time Adversarial Defense with Opposite Adversarial Path and High Attack Time Cost
Cheng-Han Yeh
Kuanchun Yu
Chun-Shien Lu
DiffM
AAML
38
0
0
22 Oct 2024
Adaptive Randomized Smoothing: Certifying Multi-Step Defences against
  Adversarial Examples
Adaptive Randomized Smoothing: Certifying Multi-Step Defences against Adversarial Examples
Saiyue Lyu
Shadab Shaikh
Frederick Shpilevskiy
Evan Shelhamer
Mathias Lécuyer
AAML
32
0
0
14 Jun 2024
DataCook: Crafting Anti-Adversarial Examples for Healthcare Data
  Copyright Protection
DataCook: Crafting Anti-Adversarial Examples for Healthcare Data Copyright Protection
Sihan Shang
Jiancheng Yang
Zhenglong Sun
Pascal Fua
65
0
0
26 Mar 2024
Defenses in Adversarial Machine Learning: A Survey
Defenses in Adversarial Machine Learning: A Survey
Baoyuan Wu
Shaokui Wei
Mingli Zhu
Meixi Zheng
Zihao Zhu
Ruotong Wang
Hongrui Chen
Danni Yuan
Li Liu
Qingshan Liu
AAML
32
14
0
13 Dec 2023
Improving Adversarial Robustness of DEQs with Explicit Regulations Along
  the Neural Dynamics
Improving Adversarial Robustness of DEQs with Explicit Regulations Along the Neural Dynamics
Zonghan Yang
Peng Li
Tianyu Pang
Yang Liu
AAML
35
3
0
02 Jun 2023
Evaluation of Test-Time Adaptation Under Computational Time Constraints
Evaluation of Test-Time Adaptation Under Computational Time Constraints
Motasem Alfarra
Hani Itani
Alejandro Pardo
Shyma Alhuwaider
Merey Ramazanova
Juan C. Pérez
Zhipeng Cai
Matthias Müller
Guohao Li
TTA
42
2
0
10 Apr 2023
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts
Jian Liang
Ran He
Tien-Ping Tan
OOD
VLM
TTA
38
205
0
27 Mar 2023
DISCO: Adversarial Defense with Local Implicit Functions
DISCO: Adversarial Defense with Local Implicit Functions
Chih-Hui Ho
Nuno Vasconcelos
AAML
26
38
0
11 Dec 2022
Test-time adversarial detection and robustness for localizing humans
  using ultra wide band channel impulse responses
Test-time adversarial detection and robustness for localizing humans using ultra wide band channel impulse responses
A. Kolli
M. Jehanzeb Mirza
Horst Possegger
Horst Bischof
AAML
32
1
0
10 Nov 2022
Visual Prompting for Adversarial Robustness
Visual Prompting for Adversarial Robustness
Aochuan Chen
P. Lorenz
Yuguang Yao
Pin-Yu Chen
Sijia Liu
VLM
VPVLM
38
32
0
12 Oct 2022
Unifying Gradients to Improve Real-world Robustness for Deep Networks
Unifying Gradients to Improve Real-world Robustness for Deep Networks
Yingwen Wu
Sizhe Chen
Kun Fang
X. Huang
AAML
32
3
0
12 Aug 2022
Attacking Adversarial Defences by Smoothing the Loss Landscape
Attacking Adversarial Defences by Smoothing the Loss Landscape
Panagiotis Eustratiadis
Henry Gouk
Da Li
Timothy M. Hospedales
AAML
22
4
0
01 Aug 2022
Evaluating the Adversarial Robustness of Adaptive Test-time Defenses
Evaluating the Adversarial Robustness of Adaptive Test-time Defenses
Francesco Croce
Sven Gowal
T. Brunner
Evan Shelhamer
Matthias Hein
A. Cemgil
TTA
AAML
181
67
0
28 Feb 2022
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