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Near-Optimal Evasion of Convex-Inducing Classifiers

Near-Optimal Evasion of Convex-Inducing Classifiers

14 March 2010
B. Nelson
Benjamin I. P. Rubinstein
Ling Huang
A. Joseph
S. Lau
Steven J. Lee
Satish Rao
Anthony Tran
J. D. Tygar
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Papers citing "Near-Optimal Evasion of Convex-Inducing Classifiers"

8 / 8 papers shown
Title
Prediction Poisoning: Towards Defenses Against DNN Model Stealing
  Attacks
Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks
Tribhuvanesh Orekondy
Bernt Schiele
Mario Fritz
AAML
19
164
0
26 Jun 2019
Attacking Graph-based Classification via Manipulating the Graph
  Structure
Attacking Graph-based Classification via Manipulating the Graph Structure
Binghui Wang
Neil Zhenqiang Gong
AAML
41
155
0
01 Mar 2019
Securing Behavior-based Opinion Spam Detection
Securing Behavior-based Opinion Spam Detection
Xingyu Lin
Guixiang Ma
B. Epureanu
Philip S. Yu
AAML
22
11
0
09 Nov 2018
Security Theater: On the Vulnerability of Classifiers to Exploratory
  Attacks
Security Theater: On the Vulnerability of Classifiers to Exploratory Attacks
Tegjyot Singh Sethi
M. Kantardzic
J. Ryu
AAML
23
11
0
24 Mar 2018
DARTS: Deceiving Autonomous Cars with Toxic Signs
DARTS: Deceiving Autonomous Cars with Toxic Signs
Chawin Sitawarin
A. Bhagoji
Arsalan Mosenia
M. Chiang
Prateek Mittal
AAML
37
233
0
18 Feb 2018
Stealing Hyperparameters in Machine Learning
Stealing Hyperparameters in Machine Learning
Binghui Wang
Neil Zhenqiang Gong
AAML
63
458
0
14 Feb 2018
Data Driven Exploratory Attacks on Black Box Classifiers in Adversarial
  Domains
Data Driven Exploratory Attacks on Black Box Classifiers in Adversarial Domains
Tegjyot Singh Sethi
M. Kantardzic
AAML
27
49
0
23 Mar 2017
Learning convex bodies is hard
Learning convex bodies is hard
Navin Goyal
Luis Rademacher
58
24
0
07 Apr 2009
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