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Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization
v1v2 (latest)

Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization

25 May 2018
Sijia Liu
B. Kailkhura
Pin-Yu Chen
Pai-Shun Ting
Shiyu Chang
Lisa Amini
ArXiv (abs)PDFHTML

Papers citing "Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization"

3 / 103 papers shown
Title
Hessian-Aware Zeroth-Order Optimization for Black-Box Adversarial Attack
Hessian-Aware Zeroth-Order Optimization for Black-Box Adversarial Attack
Haishan Ye
Zhichao Huang
Cong Fang
C. J. Li
Tong Zhang
AAML
83
42
0
29 Dec 2018
Universal Decision-Based Black-Box Perturbations: Breaking
  Security-Through-Obscurity Defenses
Universal Decision-Based Black-Box Perturbations: Breaking Security-Through-Obscurity Defenses
T. A. Hogan
B. Kailkhura
AAML
64
10
0
09 Nov 2018
Is Ordered Weighted $\ell_1$ Regularized Regression Robust to
  Adversarial Perturbation? A Case Study on OSCAR
Is Ordered Weighted ℓ1\ell_1ℓ1​ Regularized Regression Robust to Adversarial Perturbation? A Case Study on OSCAR
Pin-Yu Chen
B. Vinzamuri
Sijia Liu
AAMLOOD
59
7
0
24 Sep 2018
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