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PatchCleanser: Certifiably Robust Defense against Adversarial Patches
  for Any Image Classifier

PatchCleanser: Certifiably Robust Defense against Adversarial Patches for Any Image Classifier

20 August 2021
Chong Xiang
Saeed Mahloujifar
Prateek Mittal
    VLM
    AAML
ArXivPDFHTML

Papers citing "PatchCleanser: Certifiably Robust Defense against Adversarial Patches for Any Image Classifier"

15 / 15 papers shown
Title
Don't Lag, RAG: Training-Free Adversarial Detection Using RAG
Don't Lag, RAG: Training-Free Adversarial Detection Using RAG
Roie Kazoom
Raz Lapid
Moshe Sipper
Ofer Hadar
VLM
ObjD
AAML
57
0
0
07 Apr 2025
Improving Adversarial Robustness via Decoupled Visual Representation
  Masking
Improving Adversarial Robustness via Decoupled Visual Representation Masking
Decheng Liu
Tao Chen
Chunlei Peng
Nannan Wang
Ruimin Hu
Xinbo Gao
AAML
40
1
0
16 Jun 2024
CrossCert: A Cross-Checking Detection Approach to Patch Robustness
  Certification for Deep Learning Models
CrossCert: A Cross-Checking Detection Approach to Patch Robustness Certification for Deep Learning Models
Qili Zhou
Zhengyuan Wei
Haipeng Wang
Bo Jiang
William Chan
AAML
34
1
0
13 May 2024
BadPart: Unified Black-box Adversarial Patch Attacks against Pixel-wise
  Regression Tasks
BadPart: Unified Black-box Adversarial Patch Attacks against Pixel-wise Regression Tasks
Zhiyuan Cheng
Zhaoyi Liu
Tengda Guo
Shiwei Feng
Dongfang Liu
Mingjie Tang
Xiangyu Zhang
AAML
29
3
0
01 Apr 2024
PatchCURE: Improving Certifiable Robustness, Model Utility, and
  Computation Efficiency of Adversarial Patch Defenses
PatchCURE: Improving Certifiable Robustness, Model Utility, and Computation Efficiency of Adversarial Patch Defenses
Chong Xiang
Tong Wu
Sihui Dai
Jonathan Petit
Suman Jana
Prateek Mittal
45
2
0
19 Oct 2023
A Majority Invariant Approach to Patch Robustness Certification for Deep
  Learning Models
A Majority Invariant Approach to Patch Robustness Certification for Deep Learning Models
Qili Zhou
Zhengyuan Wei
Haipeng Wang
William Chan
AAML
14
0
0
01 Aug 2023
NSA: Naturalistic Support Artifact to Boost Network Confidence
NSA: Naturalistic Support Artifact to Boost Network Confidence
Abhijith Sharma
Phil Munz
Apurva Narayan
AAML
25
1
0
27 Jul 2023
Mask and Restore: Blind Backdoor Defense at Test Time with Masked
  Autoencoder
Mask and Restore: Blind Backdoor Defense at Test Time with Masked Autoencoder
Tao Sun
Lu Pang
Chao Chen
Haibin Ling
AAML
40
9
0
27 Mar 2023
Benchmarking Robustness to Adversarial Image Obfuscations
Benchmarking Robustness to Adversarial Image Obfuscations
Florian Stimberg
Ayan Chakrabarti
Chun-Ta Lu
Hussein Hazimeh
Otilia Stretcu
...
Merve Kaya
Cyrus Rashtchian
Ariel Fuxman
Mehmet Tek
Sven Gowal
AAML
26
10
0
30 Jan 2023
DECK: Model Hardening for Defending Pervasive Backdoors
DECK: Model Hardening for Defending Pervasive Backdoors
Guanhong Tao
Yingqi Liu
Shuyang Cheng
Shengwei An
Zhuo Zhang
Qiuling Xu
Guangyu Shen
Xiangyu Zhang
AAML
18
7
0
18 Jun 2022
On the Real-World Adversarial Robustness of Real-Time Semantic
  Segmentation Models for Autonomous Driving
On the Real-World Adversarial Robustness of Real-Time Semantic Segmentation Models for Autonomous Driving
Giulio Rossolini
F. Nesti
G. D’Amico
Saasha Nair
Alessandro Biondi
Giorgio Buttazzo
AAML
22
37
0
05 Jan 2022
ResNet strikes back: An improved training procedure in timm
ResNet strikes back: An improved training procedure in timm
Ross Wightman
Hugo Touvron
Hervé Jégou
AI4TS
209
487
0
01 Oct 2021
MLP-Mixer: An all-MLP Architecture for Vision
MLP-Mixer: An all-MLP Architecture for Vision
Ilya O. Tolstikhin
N. Houlsby
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
...
Andreas Steiner
Daniel Keysers
Jakob Uszkoreit
Mario Lucic
Alexey Dosovitskiy
271
2,603
0
04 May 2021
PatchGuard++: Efficient Provable Attack Detection against Adversarial
  Patches
PatchGuard++: Efficient Provable Attack Detection against Adversarial Patches
Chong Xiang
Prateek Mittal
AAML
31
42
0
26 Apr 2021
SentiNet: Detecting Localized Universal Attacks Against Deep Learning
  Systems
SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems
Edward Chou
Florian Tramèr
Giancarlo Pellegrino
AAML
168
287
0
02 Dec 2018
1