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1904.08489
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Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers
17 April 2019
Ameya Joshi
Amitangshu Mukherjee
Soumik Sarkar
Chinmay Hegde
AAML
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Papers citing
"Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers"
22 / 72 papers shown
Diverse Gaussian Noise Consistency Regularization for Robustness and Uncertainty Calibration
IEEE International Joint Conference on Neural Network (IJCNN), 2021
Theodoros Tsiligkaridis
Athanasios Tsiligkaridis
433
4
0
02 Apr 2021
Exploring Adversarial Robustness of Multi-Sensor Perception Systems in Self Driving
Conference on Robot Learning (CoRL), 2021
James Tu
Huichen Li
Xinchen Yan
Mengye Ren
Yun Chen
Ming Liang
E. Bitar
Ersin Yumer
R. Urtasun
AAML
290
98
0
17 Jan 2021
Color Channel Perturbation Attacks for Fooling Convolutional Neural Networks and A Defense Against Such Attacks
IEEE Transactions on Artificial Intelligence (IEEE TAI), 2020
Jayendra Kantipudi
S. Dubey
Soumendu Chakraborty
AAML
177
24
0
20 Dec 2020
Attribute-Guided Adversarial Training for Robustness to Natural Perturbations
AAAI Conference on Artificial Intelligence (AAAI), 2020
Tejas Gokhale
Rushil Anirudh
B. Kailkhura
Jayaraman J. Thiagarajan
Chitta Baral
Yezhou Yang
AAML
OOD
293
42
0
03 Dec 2020
Adversarial Image Color Transformations in Explicit Color Filter Space
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2020
Subrat Kishore Dutta
Zhuoran Liu
Martha Larson
AAML
355
15
0
12 Nov 2020
Data Augmentation via Structured Adversarial Perturbations
Calvin Luo
H. Mobahi
Samy Bengio
AAML
126
5
0
05 Nov 2020
Improving Resistance to Adversarial Deformations by Regularizing Gradients
Neurocomputing (Neurocomputing), 2020
Pengfei Xia
Bin Li
AAML
152
4
0
29 Aug 2020
Adversarial Attacks against Face Recognition: A Comprehensive Study
Fatemeh Vakhshiteh
A. Nickabadi
Raghavendra Ramachandra
AAML
230
16
0
22 Jul 2020
Domain Knowledge Alleviates Adversarial Attacks in Multi-Label Classifiers
S. Melacci
Gabriele Ciravegna
Angelo Sotgiu
Ambra Demontis
Battista Biggio
Marco Gori
Fabio Roli
299
20
0
06 Jun 2020
Adversarial Item Promotion: Vulnerabilities at the Core of Top-N Recommenders that Use Images to Address Cold Start
The Web Conference (WWW), 2020
Zhuoran Liu
Martha Larson
DiffM
249
32
0
02 Jun 2020
ShapeAdv: Generating Shape-Aware Adversarial 3D Point Clouds
Kibok Lee
Zhuoyuan Chen
Xinchen Yan
R. Urtasun
Ersin Yumer
3DPC
174
38
0
24 May 2020
Luring of transferable adversarial perturbations in the black-box paradigm
Rémi Bernhard
Pierre-Alain Moëllic
J. Dutertre
AAML
168
2
0
10 Apr 2020
Type I Attack for Generative Models
International Conference on Information Photonics (ICIP), 2020
Chengjin Sun
Sizhe Chen
Jia Cai
Xiaolin Huang
AAML
124
11
0
04 Mar 2020
Adversarial Color Enhancement: Generating Unrestricted Adversarial Images by Optimizing a Color Filter
Subrat Kishore Dutta
Zhuoran Liu
Martha Larson
246
1
0
03 Feb 2020
Towards Verifying Robustness of Neural Networks Against Semantic Perturbations
Jeet Mohapatra
Tsui-Wei Weng
Weng
Pin-Yu Chen
Sijia Liu
Luca Daniel
AAML
186
18
0
19 Dec 2019
Towards Large yet Imperceptible Adversarial Image Perturbations with Perceptual Color Distance
Computer Vision and Pattern Recognition (CVPR), 2019
Subrat Kishore Dutta
Zhuoran Liu
Martha Larson
AAML
403
171
0
06 Nov 2019
Analyzing and Improving Neural Networks by Generating Semantic Counterexamples through Differentiable Rendering
Lakshya Jain
Varun Chandrasekaran
Uyeong Jang
Wilson Wu
Andrew Lee
Andy Yan
Steven Chen
S. Jha
Sanjit A. Seshia
AAML
165
11
0
02 Oct 2019
Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents
AAAI Conference on Artificial Intelligence (AAAI), 2019
Xian Yeow Lee
Sambit Ghadai
Kai Liang Tan
Chinmay Hegde
Soumik Sarkar
AAML
219
62
0
05 Sep 2019
SemanticAdv: Generating Adversarial Examples via Attribute-conditional Image Editing
European Conference on Computer Vision (ECCV), 2019
Haonan Qiu
Chaowei Xiao
Lei Yang
Xinchen Yan
Honglak Lee
Yue Liu
AAML
339
197
0
19 Jun 2019
Unrestricted Adversarial Examples via Semantic Manipulation
Anand Bhattad
Min Jin Chong
Kaizhao Liang
Yangqiu Song
David A. Forsyth
AAML
174
174
0
12 Apr 2019
Security and Privacy Issues in Deep Learning
Ho Bae
Jaehee Jang
Dahuin Jung
Hyemi Jang
Heonseok Ha
Hyungyu Lee
Sungroh Yoon
SILM
MIACV
311
87
0
31 Jul 2018
Generating Natural Adversarial Examples
Zhengli Zhao
Dheeru Dua
Sameer Singh
GAN
AAML
579
643
0
31 Oct 2017
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