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Improved, Deterministic Smoothing for L_1 Certified Robustness

Improved, Deterministic Smoothing for L_1 Certified Robustness

17 March 2021
Alexander Levine
S. Feizi
    AAML
ArXivPDFHTML

Papers citing "Improved, Deterministic Smoothing for L_1 Certified Robustness"

15 / 15 papers shown
Title
Probabilistic Stability Guarantees for Feature Attributions
Probabilistic Stability Guarantees for Feature Attributions
Helen Jin
Anton Xue
Weiqiu You
Surbhi Goel
Eric Wong
27
0
0
18 Apr 2025
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
Fast Certification of Vision-Language Models Using Incremental
  Randomized Smoothing
Fast Certification of Vision-Language Models Using Incremental Randomized Smoothing
Ashutosh Nirala
Ameya Joshi
Chinmay Hegde
S Sarkar
VLM
36
0
0
15 Nov 2023
Provable Robustness for Streaming Models with a Sliding Window
Provable Robustness for Streaming Models with a Sliding Window
Aounon Kumar
Vinu Sankar Sadasivan
S. Feizi
OOD
AAML
AI4TS
19
1
0
28 Mar 2023
Towards Large Certified Radius in Randomized Smoothing using
  Quasiconcave Optimization
Towards Large Certified Radius in Randomized Smoothing using Quasiconcave Optimization
Bo-Han Kung
Shang-Tse Chen
AAML
24
0
0
01 Feb 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
Invariance-Aware Randomized Smoothing Certificates
Invariance-Aware Randomized Smoothing Certificates
Jan Schuchardt
Stephan Günnemann
AAML
28
5
0
25 Nov 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
Smooth-Reduce: Leveraging Patches for Improved Certified Robustness
Smooth-Reduce: Leveraging Patches for Improved Certified Robustness
Ameya Joshi
Minh Pham
Minsu Cho
Leonid Boytsov
Filipe Condessa
J. Zico Kolter
C. Hegde
UQCV
AAML
32
2
0
12 May 2022
Certifying Model Accuracy under Distribution Shifts
Certifying Model Accuracy under Distribution Shifts
Aounon Kumar
Alexander Levine
Tom Goldstein
S. Feizi
OOD
27
7
0
28 Jan 2022
Mutual Adversarial Training: Learning together is better than going
  alone
Mutual Adversarial Training: Learning together is better than going alone
Jiang-Long Liu
Chun Pong Lau
Hossein Souri
S. Feizi
Ramalingam Chellappa
OOD
AAML
43
24
0
09 Dec 2021
On the Certified Robustness for Ensemble Models and Beyond
On the Certified Robustness for Ensemble Models and Beyond
Zhuolin Yang
Linyi Li
Xiaojun Xu
B. Kailkhura
Tao Xie
Bo-wen Li
AAML
29
48
0
22 Jul 2021
Policy Smoothing for Provably Robust Reinforcement Learning
Policy Smoothing for Provably Robust Reinforcement Learning
Aounon Kumar
Alexander Levine
S. Feizi
AAML
20
56
0
21 Jun 2021
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
1