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2202.13216
Cited By
Adversarial robustness of sparse local Lipschitz predictors
26 February 2022
Ramchandran Muthukumar
Jeremias Sulam
AAML
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Papers citing
"Adversarial robustness of sparse local Lipschitz predictors"
8 / 8 papers shown
Title
Sparsing Law: Towards Large Language Models with Greater Activation Sparsity
Yuqi Luo
Chenyang Song
Xu Han
Y. Chen
Chaojun Xiao
Zhiyuan Liu
Maosong Sun
47
3
0
04 Nov 2024
On The Relationship Between Universal Adversarial Attacks And Sparse Representations
Dana Weitzner
Raja Giryes
AAML
24
0
0
14 Nov 2023
Instance-Dependent Generalization Bounds via Optimal Transport
Songyan Hou
Parnian Kassraie
Anastasis Kratsios
Andreas Krause
Jonas Rothfuss
20
6
0
02 Nov 2022
Adversarial examples from computational constraints
Sébastien Bubeck
Eric Price
Ilya P. Razenshteyn
AAML
60
230
0
25 May 2018
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Guy Katz
Clark W. Barrett
D. Dill
Kyle D. Julian
Mykel Kochenderfer
AAML
222
1,835
0
03 Feb 2017
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
273
2,886
0
15 Sep 2016
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
250
5,833
0
08 Jul 2016
Norm-Based Capacity Control in Neural Networks
Behnam Neyshabur
Ryota Tomioka
Nathan Srebro
114
577
0
27 Feb 2015
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