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Improved, Deterministic Smoothing for L_1 Certified Robustness
v1v2 (latest)

Improved, Deterministic Smoothing for L_1 Certified Robustness

17 March 2021
Alexander Levine
Soheil Feizi
    AAML
ArXiv (abs)PDFHTMLGithub (3★)

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
151
1
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
122
2
0
25 Jun 2024
Distributional Adversarial Loss
Distributional Adversarial Loss
Saba Ahmadi
Siddharth Bhandari
Avrim Blum
Chen Dan
Prabhav Jain
76
0
0
05 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
75
0
0
15 Nov 2023
Exploring Geometry of Blind Spots in Vision Models
Exploring Geometry of Blind Spots in Vision Models
S. Balasubramanian
Gaurang Sriramanan
Vinu Sankar Sadasivan
Soheil Feizi
AAML
62
2
0
30 Oct 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
52
1
0
01 Feb 2023
Invariance-Aware Randomized Smoothing Certificates
Invariance-Aware Randomized Smoothing Certificates
Jan Schuchardt
Stephan Günnemann
AAML
49
6
0
25 Nov 2022
Double Sampling Randomized Smoothing
Double Sampling Randomized Smoothing
Linyi Li
Jiawei Zhang
Tao Xie
Yue Liu
AAML
89
25
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
75
4
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
Chinmay Hegde
UQCVAAML
63
2
0
12 May 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
Soheil Feizi
Ramalingam Chellappa
OODAAML
74
25
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
Yue Liu
AAML
103
50
0
22 Jul 2021
ANCER: Anisotropic Certification via Sample-wise Volume Maximization
ANCER: Anisotropic Certification via Sample-wise Volume Maximization
Francisco Eiras
Motasem Alfarra
M. P. Kumar
Philip Torr
P. Dokania
Guohao Li
Adel Bibi
69
32
0
09 Jul 2021
Policy Smoothing for Provably Robust Reinforcement Learning
Policy Smoothing for Provably Robust Reinforcement Learning
Aounon Kumar
Alexander Levine
Soheil Feizi
AAML
104
58
0
21 Jun 2021
SoK: Certified Robustness for Deep Neural Networks
SoK: Certified Robustness for Deep Neural Networks
Linyi Li
Tao Xie
Yue Liu
AAML
123
131
0
09 Sep 2020
1