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Connecting the Dots: Detecting Adversarial Perturbations Using Context
  Inconsistency

Connecting the Dots: Detecting Adversarial Perturbations Using Context Inconsistency

19 July 2020
Shasha Li
Shitong Zhu
Sudipta Paul
Amit K. Roy-Chowdhury
Chengyu Song
S. Krishnamurthy
A. Swami
Kevin S. Chan
    AAML
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Papers citing "Connecting the Dots: Detecting Adversarial Perturbations Using Context Inconsistency"

13 / 13 papers shown
Title
On Feasibility of Intent Obfuscating Attacks
On Feasibility of Intent Obfuscating Attacks
Zhaobin Li
Patrick Shafto
AAML
32
0
0
22 Jul 2024
Releasing Inequality Phenomena in $L_{\infty}$-Adversarial Training via
  Input Gradient Distillation
Releasing Inequality Phenomena in L∞L_{\infty}L∞​-Adversarial Training via Input Gradient Distillation
Junxi Chen
Junhao Dong
Xiaohua Xie
AAML
25
0
0
16 May 2023
TextShield: Beyond Successfully Detecting Adversarial Sentences in Text
  Classification
TextShield: Beyond Successfully Detecting Adversarial Sentences in Text Classification
Lingfeng Shen
Ze Zhang
Haiyun Jiang
Ying-Cong Chen
AAML
45
5
0
03 Feb 2023
GAMA: Generative Adversarial Multi-Object Scene Attacks
GAMA: Generative Adversarial Multi-Object Scene Attacks
Abhishek Aich
Calvin-Khang Ta
Akash Gupta
Chengyu Song
S. Krishnamurthy
Ulugbek S. Kamilov
Amit K. Roy-Chowdhury
AAML
53
17
0
20 Sep 2022
SoK: On the Semantic AI Security in Autonomous Driving
SoK: On the Semantic AI Security in Autonomous Driving
Junjie Shen
Ningfei Wang
Ziwen Wan
Yunpeng Luo
Takami Sato
...
Zhenyu Zhong
Kang Li
Ziming Zhao
Chunming Qiao
Qi Alfred Chen
AAML
23
40
0
10 Mar 2022
ADC: Adversarial attacks against object Detection that evade Context
  consistency checks
ADC: Adversarial attacks against object Detection that evade Context consistency checks
Mingjun Yin
Shasha Li
Chengyu Song
Ulugbek S. Kamilov
Amit K. Roy-Chowdhury
S. Krishnamurthy
AAML
29
22
0
24 Oct 2021
Multi-Expert Adversarial Attack Detection in Person Re-identification
  Using Context Inconsistency
Multi-Expert Adversarial Attack Detection in Person Re-identification Using Context Inconsistency
Xueping Wang
Shasha Li
Min Liu
Yaonan Wang
Amit K. Roy-Chowdhury
AAML
27
28
0
23 Aug 2021
Exploiting Multi-Object Relationships for Detecting Adversarial Attacks
  in Complex Scenes
Exploiting Multi-Object Relationships for Detecting Adversarial Attacks in Complex Scenes
Mingjun Yin
Shasha Li
Zikui Cai
Chengyu Song
Ulugbek S. Kamilov
Amit K. Roy-Chowdhury
S. Krishnamurthy
AAML
19
18
0
19 Aug 2021
Advances in adversarial attacks and defenses in computer vision: A
  survey
Advances in adversarial attacks and defenses in computer vision: A survey
Naveed Akhtar
Ajmal Mian
Navid Kardan
M. Shah
AAML
38
236
0
01 Aug 2021
ComDefend: An Efficient Image Compression Model to Defend Adversarial
  Examples
ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples
Xiaojun Jia
Xingxing Wei
Xiaochun Cao
H. Foroosh
AAML
69
264
0
30 Nov 2018
ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object
  Detector
ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector
Shang-Tse Chen
Cory Cornelius
Jason Martin
Duen Horng Chau
ObjD
165
424
0
16 Apr 2018
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
326
5,847
0
08 Jul 2016
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,639
0
03 Jul 2012
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