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Tight Certificates of Adversarial Robustness for Randomly Smoothed
  Classifiers

Tight Certificates of Adversarial Robustness for Randomly Smoothed Classifiers

12 June 2019
Guang-He Lee
Yang Yuan
Shiyu Chang
Tommi Jaakkola
    AAML
ArXivPDFHTML

Papers citing "Tight Certificates of Adversarial Robustness for Randomly Smoothed Classifiers"

29 / 29 papers shown
Title
CeTAD: Towards Certified Toxicity-Aware Distance in Vision Language Models
CeTAD: Towards Certified Toxicity-Aware Distance in Vision Language Models
Xiangyu Yin
Jiaxu Liu
Zhen Chen
Jinwei Hu
Yi Dong
Xiaowei Huang
Wenjie Ruan
AAML
50
0
0
08 Mar 2025
Discrete Randomized Smoothing Meets Quantum Computing
Discrete Randomized Smoothing Meets Quantum Computing
Md. Nazmus Sakib
Aman Saxena
Nicola Franco
Md Mashrur Arifin
Stephan Günnemann
AAML
29
1
0
01 Aug 2024
SPLITZ: Certifiable Robustness via Split Lipschitz Randomized Smoothing
SPLITZ: Certifiable Robustness via Split Lipschitz Randomized Smoothing
Meiyu Zhong
Ravi Tandon
44
3
0
03 Jul 2024
Treatment of Statistical Estimation Problems in Randomized Smoothing for Adversarial Robustness
Treatment of Statistical Estimation Problems in Randomized Smoothing for Adversarial Robustness
Vaclav Voracek
AAML
46
1
0
25 Jun 2024
Advancing the Robustness of Large Language Models through Self-Denoised
  Smoothing
Advancing the Robustness of Large Language Models through Self-Denoised Smoothing
Jiabao Ji
Bairu Hou
Zhen Zhang
Guanhua Zhang
Wenqi Fan
Qing Li
Yang Zhang
Gaowen Liu
Sijia Liu
Shiyu Chang
AAML
43
6
0
18 Apr 2024
Structure-Aware Robustness Certificates for Graph Classification
Structure-Aware Robustness Certificates for Graph Classification
Pierre Osselin
Henry Kenlay
Xiaowen Dong
29
0
0
20 Jun 2023
Incremental Randomized Smoothing Certification
Incremental Randomized Smoothing Certification
Shubham Ugare
Tarun Suresh
Debangshu Banerjee
Gagandeep Singh
Sasa Misailovic
AAML
38
8
0
31 May 2023
It Is All About Data: A Survey on the Effects of Data on Adversarial
  Robustness
It Is All About Data: A Survey on the Effects of Data on Adversarial Robustness
Peiyu Xiong
Michael W. Tegegn
Jaskeerat Singh Sarin
Shubhraneel Pal
Julia Rubin
SILM
AAML
32
8
0
17 Mar 2023
RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers
  via Randomized Deletion
RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers via Randomized Deletion
Zhuoqun Huang
Neil G. Marchant
Keane Lucas
Lujo Bauer
O. Ohrimenko
Benjamin I. P. Rubinstein
AAML
32
15
0
31 Jan 2023
Randomized Message-Interception Smoothing: Gray-box Certificates for
  Graph Neural Networks
Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks
Yan Scholten
Jan Schuchardt
Simon Geisler
Aleksandar Bojchevski
Stephan Günnemann
AAML
29
15
0
05 Jan 2023
Confidence-aware Training of Smoothed Classifiers for Certified
  Robustness
Confidence-aware Training of Smoothed Classifiers for Certified Robustness
Jongheon Jeong
Seojin Kim
Jinwoo Shin
AAML
21
7
0
18 Dec 2022
Accelerating Certified Robustness Training via Knowledge Transfer
Accelerating Certified Robustness Training via Knowledge Transfer
Pratik Vaishnavi
Kevin Eykholt
Amir Rahmati
24
7
0
25 Oct 2022
CARE: Certifiably Robust Learning with Reasoning via Variational
  Inference
CARE: Certifiably Robust Learning with Reasoning via Variational Inference
Jiawei Zhang
Linyi Li
Ce Zhang
Bo-wen Li
AAML
OOD
40
8
0
12 Sep 2022
Double Sampling Randomized Smoothing
Double Sampling Randomized Smoothing
Linyi Li
Jiawei Zhang
Tao Xie
Bo-wen Li
AAML
17
23
0
16 Jun 2022
(De-)Randomized Smoothing for Decision Stump Ensembles
(De-)Randomized Smoothing for Decision Stump Ensembles
Miklós Z. Horváth
Mark Niklas Muller
Marc Fischer
Martin Vechev
30
3
0
27 May 2022
Smoothed Embeddings for Certified Few-Shot Learning
Smoothed Embeddings for Certified Few-Shot Learning
Mikhail Aleksandrovich Pautov
Olesya Kuznetsova
Nurislam Tursynbek
Aleksandr Petiushko
Ivan Oseledets
42
5
0
02 Feb 2022
PatchCleanser: Certifiably Robust Defense against Adversarial Patches
  for Any Image Classifier
PatchCleanser: Certifiably Robust Defense against Adversarial Patches for Any Image Classifier
Chong Xiang
Saeed Mahloujifar
Prateek Mittal
VLM
AAML
24
73
0
20 Aug 2021
How does Heterophily Impact the Robustness of Graph Neural Networks?
  Theoretical Connections and Practical Implications
How does Heterophily Impact the Robustness of Graph Neural Networks? Theoretical Connections and Practical Implications
Jiong Zhu
Junchen Jin
Donald Loveland
Michael T. Schaub
Danai Koutra
AAML
32
35
0
14 Jun 2021
Higher-Order Certification for Randomized Smoothing
Higher-Order Certification for Randomized Smoothing
Jeet Mohapatra
Ching-Yun Ko
Tsui-Wei Weng
Pin-Yu Chen
Sijia Liu
Luca Daniel
AAML
20
44
0
13 Oct 2020
Certifying Confidence via Randomized Smoothing
Certifying Confidence via Randomized Smoothing
Aounon Kumar
Alexander Levine
S. Feizi
Tom Goldstein
UQCV
33
39
0
17 Sep 2020
SoK: Certified Robustness for Deep Neural Networks
SoK: Certified Robustness for Deep Neural Networks
Linyi Li
Tao Xie
Bo-wen Li
AAML
33
128
0
09 Sep 2020
A Le Cam Type Bound for Adversarial Learning and Applications
A Le Cam Type Bound for Adversarial Learning and Applications
Qiuling Xu
Kevin Bello
Jean Honorio
AAML
18
1
0
01 Jul 2020
Backdoor Attacks to Graph Neural Networks
Backdoor Attacks to Graph Neural Networks
Zaixi Zhang
Jinyuan Jia
Binghui Wang
Neil Zhenqiang Gong
GNN
24
211
0
19 Jun 2020
Random Smoothing Might be Unable to Certify $\ell_\infty$ Robustness for
  High-Dimensional Images
Random Smoothing Might be Unable to Certify ℓ∞\ell_\inftyℓ∞​ Robustness for High-Dimensional Images
Avrim Blum
Travis Dick
N. Manoj
Hongyang R. Zhang
AAML
31
79
0
10 Feb 2020
Certified Robustness of Community Detection against Adversarial
  Structural Perturbation via Randomized Smoothing
Certified Robustness of Community Detection against Adversarial Structural Perturbation via Randomized Smoothing
Jinyuan Jia
Binghui Wang
Xiaoyu Cao
Neil Zhenqiang Gong
AAML
83
83
0
09 Feb 2020
Robustness Certificates for Sparse Adversarial Attacks by Randomized
  Ablation
Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation
Alexander Levine
S. Feizi
AAML
25
104
0
21 Nov 2019
Certified Robustness to Adversarial Word Substitutions
Certified Robustness to Adversarial Word Substitutions
Robin Jia
Aditi Raghunathan
Kerem Göksel
Percy Liang
AAML
183
291
0
03 Sep 2019
MoleculeNet: A Benchmark for Molecular Machine Learning
MoleculeNet: A Benchmark for Molecular Machine Learning
Zhenqin Wu
Bharath Ramsundar
Evan N. Feinberg
Joseph Gomes
C. Geniesse
Aneesh S. Pappu
K. Leswing
Vijay S. Pande
OOD
231
1,780
0
02 Mar 2017
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Guy Katz
Clark W. Barrett
D. Dill
Kyle D. Julian
Mykel Kochenderfer
AAML
249
1,838
0
03 Feb 2017
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