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2012.01274
Cited By
How Robust are Randomized Smoothing based Defenses to Data Poisoning?
2 December 2020
Akshay Mehra
B. Kailkhura
Pin-Yu Chen
Jihun Hamm
OOD
AAML
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Papers citing
"How Robust are Randomized Smoothing based Defenses to Data Poisoning?"
7 / 7 papers shown
Title
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance
Wenqi Wei
Ling Liu
31
16
0
02 Feb 2024
Understanding the Robustness of Multi-Exit Models under Common Corruptions
Akshay Mehra
Skyler Seto
Navdeep Jaitly
B. Theobald
AAML
16
3
0
03 Dec 2022
Certified Adversarial Defenses Meet Out-of-Distribution Corruptions: Benchmarking Robustness and Simple Baselines
Jiachen Sun
Akshay Mehra
B. Kailkhura
Pin-Yu Chen
Dan Hendrycks
Jihun Hamm
Z. Morley Mao
AAML
33
21
0
01 Dec 2021
Advances in adversarial attacks and defenses in computer vision: A survey
Naveed Akhtar
Ajmal Mian
Navid Kardan
M. Shah
AAML
26
235
0
01 Aug 2021
Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning
Akshay Mehra
B. Kailkhura
Pin-Yu Chen
Jihun Hamm
AAML
30
22
0
08 Jul 2021
SoK: Certified Robustness for Deep Neural Networks
Linyi Li
Tao Xie
Bo-wen Li
AAML
33
128
0
09 Sep 2020
Forward and Reverse Gradient-Based Hyperparameter Optimization
Luca Franceschi
Michele Donini
P. Frasconi
Massimiliano Pontil
133
409
0
06 Mar 2017
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