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Consistency Regularization for Certified Robustness of Smoothed
  Classifiers

Consistency Regularization for Certified Robustness of Smoothed Classifiers

7 June 2020
Jongheon Jeong
Jinwoo Shin
    AAML
ArXivPDFHTML

Papers citing "Consistency Regularization for Certified Robustness of Smoothed Classifiers"

18 / 18 papers shown
Title
Robust Representation Consistency Model via Contrastive Denoising
Robust Representation Consistency Model via Contrastive Denoising
Jiachen Lei
Julius Berner
Jiongxiao Wang
Zhongzhu Chen
Zhongjia Ba
Kui Ren
Jun Zhu
Anima Anandkumar
DiffM
77
0
0
22 Jan 2025
Average Certified Radius is a Poor Metric for Randomized Smoothing
Average Certified Radius is a Poor Metric for Randomized Smoothing
Chenhao Sun
Yuhao Mao
Mark Niklas Muller
Martin Vechev
AAML
36
0
0
09 Oct 2024
Certified Causal Defense with Generalizable Robustness
Certified Causal Defense with Generalizable Robustness
Yiran Qiao
Yu Yin
Chen Chen
Jing Ma
AAML
OOD
CML
50
0
0
28 Aug 2024
SPLITZ: Certifiable Robustness via Split Lipschitz Randomized Smoothing
SPLITZ: Certifiable Robustness via Split Lipschitz Randomized Smoothing
Meiyu Zhong
Ravi Tandon
36
3
0
03 Jul 2024
Certifying Adapters: Enabling and Enhancing the Certification of
  Classifier Adversarial Robustness
Certifying Adapters: Enabling and Enhancing the Certification of Classifier Adversarial Robustness
Jieren Deng
Hanbin Hong
A. Palmer
Xin Zhou
Jinbo Bi
Kaleel Mahmood
Yuan Hong
Derek Aguiar
AAML
40
0
0
25 May 2024
Accelerated Smoothing: A Scalable Approach to Randomized Smoothing
Accelerated Smoothing: A Scalable Approach to Randomized Smoothing
Devansh Bhardwaj
Kshitiz Kaushik
Sarthak Gupta
AAML
24
0
0
12 Feb 2024
Promoting Robustness of Randomized Smoothing: Two Cost-Effective
  Approaches
Promoting Robustness of Randomized Smoothing: Two Cost-Effective Approaches
Linbo Liu
T. Hoang
Lam M. Nguyen
Tsui-Wei Weng
AAML
19
0
0
11 Oct 2023
Enhancing Multiple Reliability Measures via Nuisance-extended
  Information Bottleneck
Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck
Jongheon Jeong
Sihyun Yu
Hankook Lee
Jinwoo Shin
AAML
38
0
0
24 Mar 2023
Revisiting Intermediate Layer Distillation for Compressing Language
  Models: An Overfitting Perspective
Revisiting Intermediate Layer Distillation for Compressing Language Models: An Overfitting Perspective
Jongwoo Ko
Seungjoon Park
Minchan Jeong
S. Hong
Euijai Ahn
Duhyeuk Chang
Se-Young Yun
21
6
0
03 Feb 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
19
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
16
7
0
25 Oct 2022
Improving Robust Fairness via Balance Adversarial Training
Improving Robust Fairness via Balance Adversarial Training
Chunyu Sun
Chenye Xu
Chengyuan Yao
Siyuan Liang
Yichao Wu
Ding Liang
XiangLong Liu
Aishan Liu
23
11
0
15 Sep 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
Towards Evading the Limits of Randomized Smoothing: A Theoretical
  Analysis
Towards Evading the Limits of Randomized Smoothing: A Theoretical Analysis
Raphael Ettedgui
Alexandre Araujo
Rafael Pinot
Y. Chevaleyre
Jamal Atif
AAML
32
3
0
03 Jun 2022
Learning Robust Controllers Via Probabilistic Model-Based Policy Search
Learning Robust Controllers Via Probabilistic Model-Based Policy Search
V. Charvet
B. S. Jensen
R. Murray-Smith
19
2
0
26 Oct 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
13
48
0
22 Jul 2021
Consistency Regularization for Adversarial Robustness
Consistency Regularization for Adversarial Robustness
Jihoon Tack
Sihyun Yu
Jongheon Jeong
Minseon Kim
S. Hwang
Jinwoo Shin
AAML
31
57
0
08 Mar 2021
Multiclass Classification Calibration Functions
Multiclass Classification Calibration Functions
Bernardo Avila-Pires
Csaba Szepesvári
67
27
0
20 Sep 2016
1