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How Robust are Randomized Smoothing based Defenses to Data Poisoning?

How Robust are Randomized Smoothing based Defenses to Data Poisoning?

2 December 2020
Akshay Mehra
B. Kailkhura
Pin-Yu Chen
Jihun Hamm
    OOD
    AAML
ArXivPDFHTML

Papers citing "How Robust are Randomized Smoothing based Defenses to Data Poisoning?"

16 / 16 papers shown
Title
Principal Eigenvalue Regularization for Improved Worst-Class Certified Robustness of Smoothed Classifiers
Principal Eigenvalue Regularization for Improved Worst-Class Certified Robustness of Smoothed Classifiers
Gaojie Jin
Tianjin Huang
Ronghui Mu
Xiaowei Huang
AAML
51
0
0
21 Mar 2025
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance
Wenqi Wei
Ling Liu
31
16
0
02 Feb 2024
SoK: Pitfalls in Evaluating Black-Box Attacks
SoK: Pitfalls in Evaluating Black-Box Attacks
Fnu Suya
Anshuman Suri
Tingwei Zhang
Jingtao Hong
Yuan Tian
David Evans
AAML
38
6
0
26 Oct 2023
On the Fly Neural Style Smoothing for Risk-Averse Domain Generalization
On the Fly Neural Style Smoothing for Risk-Averse Domain Generalization
Akshay Mehra
Yunbei Zhang
B. Kailkhura
Jihun Hamm
36
2
0
17 Jul 2023
Random Smoothing Regularization in Kernel Gradient Descent Learning
Random Smoothing Regularization in Kernel Gradient Descent Learning
Liang Ding
Tianyang Hu
Jiahan Jiang
Donghao Li
Wei Cao
Yuan Yao
30
6
0
05 May 2023
Understanding the Robustness of Multi-Exit Models under Common
  Corruptions
Understanding the Robustness of Multi-Exit Models under Common Corruptions
Akshay Mehra
Skyler Seto
Navdeep Jaitly
B. Theobald
AAML
24
3
0
03 Dec 2022
On Certifying and Improving Generalization to Unseen Domains
On Certifying and Improving Generalization to Unseen Domains
Akshay Mehra
B. Kailkhura
Pin-Yu Chen
Jihun Hamm
OOD
29
4
0
24 Jun 2022
Wild Patterns Reloaded: A Survey of Machine Learning Security against
  Training Data Poisoning
Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning
Antonio Emanuele Cinà
Kathrin Grosse
Ambra Demontis
Sebastiano Vascon
Werner Zellinger
Bernhard A. Moser
Alina Oprea
Battista Biggio
Marcello Pelillo
Fabio Roli
AAML
27
119
0
04 May 2022
A Fast and Convergent Proximal Algorithm for Regularized Nonconvex and
  Nonsmooth Bi-level Optimization
A Fast and Convergent Proximal Algorithm for Regularized Nonconvex and Nonsmooth Bi-level Optimization
Ziyi Chen
B. Kailkhura
Yi Zhou
26
8
0
30 Mar 2022
Certified Adversarial Defenses Meet Out-of-Distribution Corruptions:
  Benchmarking Robustness and Simple Baselines
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
41
21
0
01 Dec 2021
Certifiers Make Neural Networks Vulnerable to Availability Attacks
Certifiers Make Neural Networks Vulnerable to Availability Attacks
Tobias Lorenz
Marta Kwiatkowska
Mario Fritz
AAML
SILM
12
2
0
25 Aug 2021
Advances in adversarial attacks and defenses in computer vision: A
  survey
Advances in adversarial attacks and defenses in computer vision: A survey
Naveed Akhtar
Ajmal Mian
Navid Kardan
M. Shah
AAML
41
236
0
01 Aug 2021
Understanding the Limits of Unsupervised Domain Adaptation via Data
  Poisoning
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
Accumulative Poisoning Attacks on Real-time Data
Accumulative Poisoning Attacks on Real-time Data
Tianyu Pang
Xiao Yang
Yinpeng Dong
Hang Su
Jun Zhu
34
20
0
18 Jun 2021
SoK: Certified Robustness for Deep Neural Networks
SoK: Certified Robustness for Deep Neural Networks
Linyi Li
Tao Xie
Bo-wen Li
AAML
38
128
0
09 Sep 2020
Forward and Reverse Gradient-Based Hyperparameter Optimization
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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