Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2312.04035
Cited By
Defense against ML-based Power Side-channel Attacks on DNN Accelerators with Adversarial Attacks
7 December 2023
Xiaobei Yan
Chip Hong Chang
Tianwei Zhang
AAML
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Defense against ML-based Power Side-channel Attacks on DNN Accelerators with Adversarial Attacks"
8 / 8 papers shown
Title
NNReArch: A Tensor Program Scheduling Framework Against Neural Network Architecture Reverse Engineering
Yukui Luo
Shijin Duan
Gongye Cheng
Yunsi Fei
Xiaolin Xu
35
8
0
22 Mar 2022
Programmable RO (PRO): A Multipurpose Countermeasure against Side-channel and Fault Injection Attack
Yuan Yao
Pantea Kiaei
Richa Singh
Shahin Tajik
Patrick Schaumont
19
7
0
25 Jun 2021
Audio Adversarial Examples: Targeted Attacks on Speech-to-Text
Nicholas Carlini
D. Wagner
AAML
94
1,079
0
05 Jan 2018
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
SILM
OOD
299
12,060
0
19 Jun 2017
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
447
5,369
0
05 Nov 2016
Universal adversarial perturbations
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
Omar Fawzi
P. Frossard
AAML
133
2,527
0
26 Oct 2016
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
269
19,045
0
20 Dec 2014
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
266
14,912
1
21 Dec 2013
1