Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2012.01901
Cited By
An Empirical Study of Derivative-Free-Optimization Algorithms for Targeted Black-Box Attacks in Deep Neural Networks
3 December 2020
Giuseppe Ughi
V. Abrol
Jared Tanner
AAML
Re-assign community
ArXiv
PDF
HTML
Papers citing
"An Empirical Study of Derivative-Free-Optimization Algorithms for Targeted Black-Box Attacks in Deep Neural Networks"
4 / 4 papers shown
Title
An Adaptive Black-box Defense against Trojan Attacks (TrojDef)
Guanxiong Liu
Abdallah Khreishah
Fatima Sharadgah
Issa M. Khalil
AAML
33
8
0
05 Sep 2022
Adversarial Attacks on Speech Recognition Systems for Mission-Critical Applications: A Survey
Ngoc Dung Huynh
Mohamed Reda Bouadjenek
Imran Razzak
Kevin Lee
Chetan Arora
Ali Hassani
A. Zaslavsky
AAML
34
6
0
22 Feb 2022
ML Attack Models: Adversarial Attacks and Data Poisoning Attacks
Jing Lin
Long Dang
Mohamed Rahouti
Kaiqi Xiong
AAML
22
45
0
06 Dec 2021
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
365
5,849
0
08 Jul 2016
1