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X-Detect: Explainable Adversarial Patch Detection for Object Detectors
  in Retail

X-Detect: Explainable Adversarial Patch Detection for Object Detectors in Retail

14 June 2023
Omer Hofman
Amit Giloni
Yarin Hayun
I. Morikawa
Toshiya Shimizu
Yuval Elovici
A. Shabtai
    AAML
ArXivPDFHTML

Papers citing "X-Detect: Explainable Adversarial Patch Detection for Object Detectors in Retail"

3 / 3 papers shown
Title
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
Rethinking Object Detection in Retail Stores
Yuanqiang Cai
Longyin Wen
Libo Zhang
Dawei Du
Weiqiang Wang
16
23
0
18 Mar 2020
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