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Adversarial Examples for Semantic Segmentation and Object Detection

Adversarial Examples for Semantic Segmentation and Object Detection

24 March 2017
Cihang Xie
Jianyu Wang
Zhishuai Zhang
Yuyin Zhou
Lingxi Xie
Alan Yuille
    GAN
    AAML
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Papers citing "Adversarial Examples for Semantic Segmentation and Object Detection"

50 / 174 papers shown
Title
Exploring Frequency Adversarial Attacks for Face Forgery Detection
Exploring Frequency Adversarial Attacks for Face Forgery Detection
Shuai Jia
Chao Ma
Taiping Yao
Bangjie Yin
Shouhong Ding
Xiaokang Yang
AAML
31
62
0
29 Mar 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
25
40
0
10 Mar 2022
Improving Health Mentioning Classification of Tweets using Contrastive
  Adversarial Training
Improving Health Mentioning Classification of Tweets using Contrastive Adversarial Training
Pervaiz Iqbal Khan
Shoaib Ahmed Siddiqui
Imran Razzak
Andreas Dengel
Sheraz Ahmed
21
3
0
03 Mar 2022
Adversarial Attack and Defense of YOLO Detectors in Autonomous Driving
  Scenarios
Adversarial Attack and Defense of YOLO Detectors in Autonomous Driving Scenarios
Jung Im Choi
Qing Tian
AAML
30
38
0
10 Feb 2022
Smoothed Embeddings for Certified Few-Shot Learning
Smoothed Embeddings for Certified Few-Shot Learning
Mikhail Aleksandrovich Pautov
Olesya Kuznetsova
Nurislam Tursynbek
Aleksandr Petiushko
Ivan Oseledets
47
5
0
02 Feb 2022
Parallel Rectangle Flip Attack: A Query-based Black-box Attack against
  Object Detection
Parallel Rectangle Flip Attack: A Query-based Black-box Attack against Object Detection
Siyuan Liang
Baoyuan Wu
Yanbo Fan
Xingxing Wei
Xiaochun Cao
AAML
24
71
0
22 Jan 2022
Dangerous Cloaking: Natural Trigger based Backdoor Attacks on Object
  Detectors in the Physical World
Dangerous Cloaking: Natural Trigger based Backdoor Attacks on Object Detectors in the Physical World
Hua Ma
Yinshan Li
Yansong Gao
A. Abuadbba
Zhi-Li Zhang
Anmin Fu
Hyoungshick Kim
S. Al-Sarawi
N. Surya
Derek Abbott
21
34
0
21 Jan 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
33
37
0
05 Jan 2022
All You Need is RAW: Defending Against Adversarial Attacks with Camera
  Image Pipelines
All You Need is RAW: Defending Against Adversarial Attacks with Camera Image Pipelines
Yuxuan Zhang
B. Dong
Felix Heide
AAML
26
8
0
16 Dec 2021
Push Stricter to Decide Better: A Class-Conditional Feature Adaptive
  Framework for Improving Adversarial Robustness
Push Stricter to Decide Better: A Class-Conditional Feature Adaptive Framework for Improving Adversarial Robustness
Jia-Li Yin
Lehui Xie
Wanqing Zhu
Ximeng Liu
Bo-Hao Chen
TTA
AAML
34
3
0
01 Dec 2021
Adversarial Examples on Segmentation Models Can be Easy to Transfer
Adversarial Examples on Segmentation Models Can be Easy to Transfer
Jindong Gu
Hengshuang Zhao
Volker Tresp
Philip Torr
AAML
41
14
0
22 Nov 2021
Robust and Accurate Object Detection via Self-Knowledge Distillation
Robust and Accurate Object Detection via Self-Knowledge Distillation
Weipeng Xu
Pengzhi Chu
Renhao Xie
Xiongziyan Xiao
Hongcheng Huang
AAML
ObjD
27
4
0
14 Nov 2021
M2GAN: A Multi-Stage Self-Attention Network for Image Rain Removal on
  Autonomous Vehicles
M2GAN: A Multi-Stage Self-Attention Network for Image Rain Removal on Autonomous Vehicles
Duc Manh Nguyen
Sang-Woong Lee
GAN
27
1
0
12 Oct 2021
HIRE-SNN: Harnessing the Inherent Robustness of Energy-Efficient Deep
  Spiking Neural Networks by Training with Crafted Input Noise
HIRE-SNN: Harnessing the Inherent Robustness of Energy-Efficient Deep Spiking Neural Networks by Training with Crafted Input Noise
Souvik Kundu
Massoud Pedram
Peter A. Beerel
AAML
22
71
0
06 Oct 2021
Sensor Adversarial Traits: Analyzing Robustness of 3D Object Detection
  Sensor Fusion Models
Sensor Adversarial Traits: Analyzing Robustness of 3D Object Detection Sensor Fusion Models
Wonseok Park
Nan Liu
Qi Alfred Chen
Z. Morley Mao
AAML
3DPC
31
12
0
13 Sep 2021
Morphence: Moving Target Defense Against Adversarial Examples
Morphence: Moving Target Defense Against Adversarial Examples
Abderrahmen Amich
Birhanu Eshete
AAML
37
24
0
31 Aug 2021
Evaluating the Robustness of Semantic Segmentation for Autonomous
  Driving against Real-World Adversarial Patch Attacks
Evaluating the Robustness of Semantic Segmentation for Autonomous Driving against Real-World Adversarial Patch Attacks
F. Nesti
Giulio Rossolini
Saasha Nair
Alessandro Biondi
Giorgio Buttazzo
AAML
42
74
0
13 Aug 2021
UniNet: A Unified Scene Understanding Network and Exploring Multi-Task
  Relationships through the Lens of Adversarial Attacks
UniNet: A Unified Scene Understanding Network and Exploring Multi-Task Relationships through the Lens of Adversarial Attacks
Naresh Gurulingan
Elahe Arani
Bahram Zonooz
33
7
0
10 Aug 2021
Enhancing MR Image Segmentation with Realistic Adversarial Data
  Augmentation
Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation
Chen Chen
C. Qin
Cheng Ouyang
Zeju Li
Shuo Wang
Huaqi Qiu
Liang Chen
G. Tarroni
Wenjia Bai
Daniel Rueckert
GAN
MedIm
62
40
0
07 Aug 2021
Improved Text Classification via Contrastive Adversarial Training
Improved Text Classification via Contrastive Adversarial Training
Lin Pan
Chung-Wei Hang
Avirup Sil
Saloni Potdar
AAML
28
86
0
21 Jul 2021
Adversarial Attacks on Multi-task Visual Perception for Autonomous
  Driving
Adversarial Attacks on Multi-task Visual Perception for Autonomous Driving
Ibrahim Sobh
Ahmed Hamed
V. Kumar
S. Yogamani
AAML
45
20
0
15 Jul 2021
Towards Robust General Medical Image Segmentation
Towards Robust General Medical Image Segmentation
Laura Alexandra Daza
Juan C. Pérez
Pablo Arbelaez
OOD
31
25
0
09 Jul 2021
Scalable Certified Segmentation via Randomized Smoothing
Scalable Certified Segmentation via Randomized Smoothing
Marc Fischer
Maximilian Baader
Martin Vechev
20
38
0
01 Jul 2021
Adversarial Visual Robustness by Causal Intervention
Adversarial Visual Robustness by Causal Intervention
Kaihua Tang
Ming Tao
Hanwang Zhang
CML
AAML
32
21
0
17 Jun 2021
3DB: A Framework for Debugging Computer Vision Models
3DB: A Framework for Debugging Computer Vision Models
Guillaume Leclerc
Hadi Salman
Andrew Ilyas
Sai H. Vemprala
Logan Engstrom
...
Pengchuan Zhang
Shibani Santurkar
Greg Yang
Ashish Kapoor
A. Madry
40
40
0
07 Jun 2021
Transferable Adversarial Examples for Anchor Free Object Detection
Transferable Adversarial Examples for Anchor Free Object Detection
Quanyu Liao
Xin Wang
Bin Kong
Siwei Lyu
Bin Zhu
Youbing Yin
Qi Song
Xi Wu
AAML
27
9
0
03 Jun 2021
Efficiency-driven Hardware Optimization for Adversarially Robust Neural
  Networks
Efficiency-driven Hardware Optimization for Adversarially Robust Neural Networks
Abhiroop Bhattacharjee
Abhishek Moitra
Priyadarshini Panda
AAML
32
8
0
09 May 2021
Fashion-Guided Adversarial Attack on Person Segmentation
Fashion-Guided Adversarial Attack on Person Segmentation
Marc Treu
Trung-Nghia Le
H. Nguyen
Junichi Yamagishi
Isao Echizen
AAML
33
12
0
17 Apr 2021
Achieving Transparency Report Privacy in Linear Time
Achieving Transparency Report Privacy in Linear Time
Chien-Lun Chen
L. Golubchik
R. Pal
11
4
0
31 Mar 2021
Class-Aware Robust Adversarial Training for Object Detection
Class-Aware Robust Adversarial Training for Object Detection
Pin-Chun Chen
Bo-Han Kung
Jun-Cheng Chen
AAML
ObjD
26
48
0
30 Mar 2021
LiBRe: A Practical Bayesian Approach to Adversarial Detection
LiBRe: A Practical Bayesian Approach to Adversarial Detection
Zhijie Deng
Xiao Yang
Shizhen Xu
Hang Su
Jun Zhu
BDL
AAML
25
61
0
27 Mar 2021
MagDR: Mask-guided Detection and Reconstruction for Defending Deepfakes
MagDR: Mask-guided Detection and Reconstruction for Defending Deepfakes
Zhikai Chen
Lingxi Xie
Shanmin Pang
Yong He
Bo Zhang
AAML
36
32
0
26 Mar 2021
Robust and Accurate Object Detection via Adversarial Learning
Robust and Accurate Object Detection via Adversarial Learning
Xiangning Chen
Cihang Xie
Mingxing Tan
Li Zhang
Cho-Jui Hsieh
Boqing Gong
AAML
34
72
0
23 Mar 2021
RPATTACK: Refined Patch Attack on General Object Detectors
RPATTACK: Refined Patch Attack on General Object Detectors
Hao Huang
Yongtao Wang
Zhaoyu Chen
Zhi Tang
Wenqiang Zhang
K. Ma
ObjD
AAML
36
32
0
23 Mar 2021
Anti-Adversarially Manipulated Attributions for Weakly and
  Semi-Supervised Semantic Segmentation
Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation
Jungbeom Lee
Eunji Kim
Sungroh Yoon
30
226
0
16 Mar 2021
Adversarial Attacks and Defenses in Physiological Computing: A
  Systematic Review
Adversarial Attacks and Defenses in Physiological Computing: A Systematic Review
Dongrui Wu
Jiaxin Xu
Weili Fang
Yi Zhang
Liuqing Yang
Xiaodong Xu
Hanbin Luo
Xiang Yu
AAML
32
25
0
04 Feb 2021
Recent Advances in Adversarial Training for Adversarial Robustness
Recent Advances in Adversarial Training for Adversarial Robustness
Tao Bai
Jinqi Luo
Jun Zhao
Bihan Wen
Qian Wang
AAML
86
476
0
02 Feb 2021
Landmark Breaker: Obstructing DeepFake By Disturbing Landmark Extraction
Landmark Breaker: Obstructing DeepFake By Disturbing Landmark Extraction
Pu Sun
Yuezun Li
H. Qi
Siwei Lyu
23
17
0
01 Feb 2021
Exploring Adversarial Robustness of Multi-Sensor Perception Systems in
  Self Driving
Exploring Adversarial Robustness of Multi-Sensor Perception Systems in Self Driving
James Tu
Huichen Li
Xinchen Yan
Mengye Ren
Yun Chen
Ming Liang
E. Bitar
Ersin Yumer
R. Urtasun
AAML
32
76
0
17 Jan 2021
Black-box Adversarial Attacks in Autonomous Vehicle Technology
Black-box Adversarial Attacks in Autonomous Vehicle Technology
K. N. Kumar
Vishnu Chalavadi
Reshmi Mitra
C.Krishna Mohan
AAML
23
70
0
15 Jan 2021
Local Black-box Adversarial Attacks: A Query Efficient Approach
Local Black-box Adversarial Attacks: A Query Efficient Approach
Tao Xiang
Hangcheng Liu
Shangwei Guo
Tianwei Zhang
X. Liao
AAML
MLAU
23
15
0
04 Jan 2021
Sparse Adversarial Attack to Object Detection
Sparse Adversarial Attack to Object Detection
Jiayu Bao
AAML
33
17
0
26 Dec 2020
Visually Imperceptible Adversarial Patch Attacks on Digital Images
Visually Imperceptible Adversarial Patch Attacks on Digital Images
Yaguan Qian
Jiamin Wang
Bin Wang
Xiang Ling
Zhaoquan Gu
Chunming Wu
Wassim Swaileh
AAML
44
2
0
02 Dec 2020
Exposing the Robustness and Vulnerability of Hybrid 8T-6T SRAM Memory
  Architectures to Adversarial Attacks in Deep Neural Networks
Exposing the Robustness and Vulnerability of Hybrid 8T-6T SRAM Memory Architectures to Adversarial Attacks in Deep Neural Networks
Abhishek Moitra
Priyadarshini Panda
AAML
27
2
0
26 Nov 2020
Recent Advances in Understanding Adversarial Robustness of Deep Neural
  Networks
Recent Advances in Understanding Adversarial Robustness of Deep Neural Networks
Tao Bai
Jinqi Luo
Jun Zhao
AAML
51
8
0
03 Nov 2020
Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-fine
  Framework and Its Adversarial Examples
Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-fine Framework and Its Adversarial Examples
Yingwei Li
Zhuotun Zhu
Yuyin Zhou
Yingda Xia
Wei Shen
Elliot K. Fishman
Alan Yuille
MedIm
33
23
0
29 Oct 2020
GreedyFool: Distortion-Aware Sparse Adversarial Attack
GreedyFool: Distortion-Aware Sparse Adversarial Attack
Xiaoyi Dong
Dongdong Chen
Jianmin Bao
Chuan Qin
Lu Yuan
Weiming Zhang
Nenghai Yu
Dong Chen
AAML
18
63
0
26 Oct 2020
Dynamic Adversarial Patch for Evading Object Detection Models
Dynamic Adversarial Patch for Evading Object Detection Models
Shahar Hoory
T. Shapira
A. Shabtai
Yuval Elovici
AAML
18
41
0
25 Oct 2020
RobustBench: a standardized adversarial robustness benchmark
RobustBench: a standardized adversarial robustness benchmark
Francesco Croce
Maksym Andriushchenko
Vikash Sehwag
Edoardo Debenedetti
Nicolas Flammarion
M. Chiang
Prateek Mittal
Matthias Hein
VLM
234
681
0
19 Oct 2020
Optimism in the Face of Adversity: Understanding and Improving Deep
  Learning through Adversarial Robustness
Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness
Guillermo Ortiz-Jiménez
Apostolos Modas
Seyed-Mohsen Moosavi-Dezfooli
P. Frossard
AAML
39
48
0
19 Oct 2020
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