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Keeping the Bad Guys Out: Protecting and Vaccinating Deep Learning with
  JPEG Compression

Keeping the Bad Guys Out: Protecting and Vaccinating Deep Learning with JPEG Compression

8 May 2017
Nilaksh Das
Madhuri Shanbhogue
Shang-Tse Chen
Fred Hohman
Li-Wei Chen
Michael E. Kounavis
Duen Horng Chau
    AAML
ArXiv (abs)PDFHTML

Papers citing "Keeping the Bad Guys Out: Protecting and Vaccinating Deep Learning with JPEG Compression"

11 / 161 papers shown
Title
Deflecting Adversarial Attacks with Pixel Deflection
Deflecting Adversarial Attacks with Pixel Deflection
Aaditya (Adi) Prakash
N. Moran
Solomon Garber
Antonella DiLillo
J. Storer
AAML
110
304
0
26 Jan 2018
Visual Analytics in Deep Learning: An Interrogative Survey for the Next
  Frontiers
Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers
Fred Hohman
Minsuk Kahng
Robert S. Pienta
Duen Horng Chau
OODHAI
101
541
0
21 Jan 2018
Sparsity-based Defense against Adversarial Attacks on Linear Classifiers
Sparsity-based Defense against Adversarial Attacks on Linear Classifiers
Zhinus Marzi
S. Gopalakrishnan
Upamanyu Madhow
Ramtin Pedarsani
AAML
84
31
0
15 Jan 2018
Audio Adversarial Examples: Targeted Attacks on Speech-to-Text
Audio Adversarial Examples: Targeted Attacks on Speech-to-Text
Nicholas Carlini
D. Wagner
AAML
101
1,083
0
05 Jan 2018
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A
  Survey
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey
Naveed Akhtar
Ajmal Mian
AAML
142
1,872
0
02 Jan 2018
Defense against Adversarial Attacks Using High-Level Representation
  Guided Denoiser
Defense against Adversarial Attacks Using High-Level Representation Guided Denoiser
Fangzhou Liao
Ming Liang
Yinpeng Dong
Tianyu Pang
Xiaolin Hu
Jun Zhu
109
891
0
08 Dec 2017
CURE-TSR: Challenging Unreal and Real Environments for Traffic Sign
  Recognition
CURE-TSR: Challenging Unreal and Real Environments for Traffic Sign Recognition
Dogancan Temel
Gukyeong Kwon
Mohit Prabhushankar
G. Al-Regib
55
73
0
07 Dec 2017
Butterfly Effect: Bidirectional Control of Classification Performance by
  Small Additive Perturbation
Butterfly Effect: Bidirectional Control of Classification Performance by Small Additive Perturbation
Y. Yoo
Seonguk Park
Junyoung Choi
Sangdoo Yun
Nojun Kwak
AAML
50
4
0
27 Nov 2017
Enhanced Attacks on Defensively Distilled Deep Neural Networks
Enhanced Attacks on Defensively Distilled Deep Neural Networks
Yujia Liu
Weiming Zhang
Shaohua Li
Nenghai Yu
AAML
66
6
0
16 Nov 2017
Enhancing Robustness of Machine Learning Systems via Data
  Transformations
Enhancing Robustness of Machine Learning Systems via Data Transformations
A. Bhagoji
Daniel Cullina
Chawin Sitawarin
Prateek Mittal
AAML
105
231
0
09 Apr 2017
Adequacy of the Gradient-Descent Method for Classifier Evasion Attacks
Adequacy of the Gradient-Descent Method for Classifier Evasion Attacks
Yi Han
Benjamin I. P. Rubinstein
SILMAAML
63
6
0
06 Apr 2017
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