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Certified Adversarial Robustness via Randomized Smoothing

Certified Adversarial Robustness via Randomized Smoothing

8 February 2019
Jeremy M. Cohen
Elan Rosenfeld
J. Zico Kolter
    AAML
ArXivPDFHTML

Papers citing "Certified Adversarial Robustness via Randomized Smoothing"

50 / 537 papers shown
Title
Open Sesame! Universal Black Box Jailbreaking of Large Language Models
Open Sesame! Universal Black Box Jailbreaking of Large Language Models
Raz Lapid
Ron Langberg
Moshe Sipper
AAML
34
108
0
04 Sep 2023
Boosting Adversarial Transferability by Block Shuffle and Rotation
Boosting Adversarial Transferability by Block Shuffle and Rotation
Kunyu Wang
Xu He
Wenxuan Wang
Xiaosen Wang
AAML
43
37
0
20 Aug 2023
Enhancing the Antidote: Improved Pointwise Certifications against
  Poisoning Attacks
Enhancing the Antidote: Improved Pointwise Certifications against Poisoning Attacks
Shijie Liu
Andrew C. Cullen
Paul Montague
S. Erfani
Benjamin I. P. Rubinstein
AAML
32
3
0
15 Aug 2023
SegMatch: A semi-supervised learning method for surgical instrument segmentation
SegMatch: A semi-supervised learning method for surgical instrument segmentation
Meng Wei
Charlie Budd
Luis C. Garcia-Peraza-Herrera
Reuben Dorent
Miaojing Shi
Tom Vercauteren
41
5
0
09 Aug 2023
Training on Foveated Images Improves Robustness to Adversarial Attacks
Training on Foveated Images Improves Robustness to Adversarial Attacks
Muhammad Ahmed Shah
Bhiksha Raj
AAML
43
4
0
01 Aug 2023
Text-CRS: A Generalized Certified Robustness Framework against Textual
  Adversarial Attacks
Text-CRS: A Generalized Certified Robustness Framework against Textual Adversarial Attacks
Xinyu Zhang
Hanbin Hong
Yuan Hong
Peng Huang
Binghui Wang
Zhongjie Ba
Kui Ren
SILM
63
19
0
31 Jul 2023
A LLM Assisted Exploitation of AI-Guardian
A LLM Assisted Exploitation of AI-Guardian
Nicholas Carlini
ELM
SILM
24
16
0
20 Jul 2023
A Survey of What to Share in Federated Learning: Perspectives on Model
  Utility, Privacy Leakage, and Communication Efficiency
A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency
Jiawei Shao
Zijian Li
Wenqiang Sun
Tailin Zhou
Yuchang Sun
Lumin Liu
Zehong Lin
Yuyi Mao
Jun Zhang
FedML
50
23
0
20 Jul 2023
Online Continual Learning for Robust Indoor Object Recognition
Online Continual Learning for Robust Indoor Object Recognition
Umberto Michieli
Mete Ozay
44
9
0
19 Jul 2023
A Theoretical Perspective on Subnetwork Contributions to Adversarial
  Robustness
A Theoretical Perspective on Subnetwork Contributions to Adversarial Robustness
Jovon Craig
Joshua Andle
Theodore S. Nowak
Salimeh Yasaei Sekeh
AAML
53
0
0
07 Jul 2023
CLIPAG: Towards Generator-Free Text-to-Image Generation
CLIPAG: Towards Generator-Free Text-to-Image Generation
Roy Ganz
Michael Elad
VLM
41
8
0
29 Jun 2023
Group-based Robustness: A General Framework for Customized Robustness in
  the Real World
Group-based Robustness: A General Framework for Customized Robustness in the Real World
Weiran Lin
Keane Lucas
Neo Eyal
Lujo Bauer
Michael K. Reiter
Mahmood Sharif
OOD
AAML
52
1
0
29 Jun 2023
On Evaluating the Adversarial Robustness of Semantic Segmentation Models
On Evaluating the Adversarial Robustness of Semantic Segmentation Models
L. Halmosi
Márk Jelasity
AAML
VLM
70
1
0
25 Jun 2023
Structure-Aware Robustness Certificates for Graph Classification
Structure-Aware Robustness Certificates for Graph Classification
Pierre Osselin
Henry Kenlay
Xiaowen Dong
46
0
0
20 Jun 2023
Robust low-rank training via approximate orthonormal constraints
Robust low-rank training via approximate orthonormal constraints
Dayana Savostianova
Emanuele Zangrando
Gianluca Ceruti
Francesco Tudisco
42
9
0
02 Jun 2023
Incremental Randomized Smoothing Certification
Incremental Randomized Smoothing Certification
Shubham Ugare
Tarun Suresh
Debangshu Banerjee
Gagandeep Singh
Sasa Misailovic
AAML
43
8
0
31 May 2023
Which Models have Perceptually-Aligned Gradients? An Explanation via
  Off-Manifold Robustness
Which Models have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness
Suraj Srinivas
Sebastian Bordt
Hima Lakkaraju
AAML
45
12
0
30 May 2023
Don't Retrain, Just Rewrite: Countering Adversarial Perturbations by
  Rewriting Text
Don't Retrain, Just Rewrite: Countering Adversarial Perturbations by Rewriting Text
Ashim Gupta
Carter Blum
Temma Choji
Yingjie Fei
Shalin S Shah
Alakananda Vempala
Vivek Srikumar
AAML
41
9
0
25 May 2023
A Survey of Safety and Trustworthiness of Large Language Models through
  the Lens of Verification and Validation
A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation
Xiaowei Huang
Wenjie Ruan
Wei Huang
Gao Jin
Yizhen Dong
...
Sihao Wu
Peipei Xu
Dengyu Wu
André Freitas
Mustafa A. Mustafa
ALM
52
83
0
19 May 2023
How Deep Learning Sees the World: A Survey on Adversarial Attacks &
  Defenses
How Deep Learning Sees the World: A Survey on Adversarial Attacks & Defenses
Joana Cabral Costa
Tiago Roxo
Hugo Manuel Proença
Pedro R. M. Inácio
AAML
75
51
0
18 May 2023
Raising the Bar for Certified Adversarial Robustness with Diffusion
  Models
Raising the Bar for Certified Adversarial Robustness with Diffusion Models
Thomas Altstidl
David Dobre
Björn Eskofier
Gauthier Gidel
Leo Schwinn
DiffM
57
7
0
17 May 2023
Adversarial Examples Detection with Enhanced Image Difference Features
  based on Local Histogram Equalization
Adversarial Examples Detection with Enhanced Image Difference Features based on Local Histogram Equalization
Z. Yin
Shaowei Zhu
Han Su
Jianteng Peng
Wanli Lyu
Bin Luo
AAML
36
2
0
08 May 2023
Bounding the Invertibility of Privacy-preserving Instance Encoding using
  Fisher Information
Bounding the Invertibility of Privacy-preserving Instance Encoding using Fisher Information
Kiwan Maeng
Chuan Guo
Sanjay Kariyappa
G. E. Suh
31
8
0
06 May 2023
Robust Tickets Can Transfer Better: Drawing More Transferable Subnetworks in Transfer Learning
Robust Tickets Can Transfer Better: Drawing More Transferable Subnetworks in Transfer Learning
Y. Fu
Ye Yuan
Shang Wu
Jiayi Yuan
Yingyan Lin
OOD
69
3
0
24 Apr 2023
Diversifying the High-level Features for better Adversarial
  Transferability
Diversifying the High-level Features for better Adversarial Transferability
Zhiyuan Wang
Zeliang Zhang
Siyuan Liang
Xiaosen Wang
AAML
75
20
0
20 Apr 2023
Certified Zeroth-order Black-Box Defense with Robust UNet Denoiser
Certified Zeroth-order Black-Box Defense with Robust UNet Denoiser
Astha Verma
A. Subramanyam
Siddhesh Bangar
Naman Lal
R. Shah
Shiníchi Satoh
45
4
0
13 Apr 2023
UATTA-EB: Uncertainty-Aware Test-Time Augmented Ensemble of BERTs for
  Classifying Common Mental Illnesses on Social Media Posts
UATTA-EB: Uncertainty-Aware Test-Time Augmented Ensemble of BERTs for Classifying Common Mental Illnesses on Social Media Posts
Pratinav Seth
Mihir Agarwal
AI4MH
26
1
0
10 Apr 2023
Reliable learning in challenging environments
Reliable learning in challenging environments
Maria-Florina Balcan
Steve Hanneke
Rattana Pukdee
Dravyansh Sharma
OOD
41
4
0
06 Apr 2023
Learning Stable and Robust Linear Parameter-Varying State-Space Models
Learning Stable and Robust Linear Parameter-Varying State-Space Models
C. Verhoek
Ruigang Wang
R. Tóth
26
4
0
04 Apr 2023
Beyond Empirical Risk Minimization: Local Structure Preserving
  Regularization for Improving Adversarial Robustness
Beyond Empirical Risk Minimization: Local Structure Preserving Regularization for Improving Adversarial Robustness
Wei Wei
Jiahuan Zhou
Yingying Wu
AAML
25
0
0
29 Mar 2023
Provable Robustness for Streaming Models with a Sliding Window
Provable Robustness for Streaming Models with a Sliding Window
Aounon Kumar
Vinu Sankar Sadasivan
Soheil Feizi
OOD
AAML
AI4TS
32
1
0
28 Mar 2023
Diffusion Denoised Smoothing for Certified and Adversarial Robust
  Out-Of-Distribution Detection
Diffusion Denoised Smoothing for Certified and Adversarial Robust Out-Of-Distribution Detection
Nicola Franco
Daniel Korth
J. Lorenz
Karsten Roscher
Stephan Guennemann
33
5
0
27 Mar 2023
Optimal Smoothing Distribution Exploration for Backdoor Neutralization
  in Deep Learning-based Traffic Systems
Optimal Smoothing Distribution Exploration for Backdoor Neutralization in Deep Learning-based Traffic Systems
Yueya Wang
Wending Li
Michail Maniatakos
Saif Eddin Jabari
AAML
36
1
0
24 Mar 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
49
0
0
24 Mar 2023
Fuzziness-tuned: Improving the Transferability of Adversarial Examples
Fuzziness-tuned: Improving the Transferability of Adversarial Examples
Xiangyuan Yang
Jie Lin
Hanlin Zhang
Xinyu Yang
Peng Zhao
AAML
42
0
0
17 Mar 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
49
9
0
17 Mar 2023
Rethinking Model Ensemble in Transfer-based Adversarial Attacks
Rethinking Model Ensemble in Transfer-based Adversarial Attacks
Huanran Chen
Yichi Zhang
Yinpeng Dong
Xiao Yang
Hang Su
Junyi Zhu
AAML
38
58
0
16 Mar 2023
Can Adversarial Examples Be Parsed to Reveal Victim Model Information?
Can Adversarial Examples Be Parsed to Reveal Victim Model Information?
Yuguang Yao
Jiancheng Liu
Yifan Gong
Xiaoming Liu
Yanzhi Wang
Xinyu Lin
Sijia Liu
AAML
MLAU
42
1
0
13 Mar 2023
CUDA: Convolution-based Unlearnable Datasets
CUDA: Convolution-based Unlearnable Datasets
Vinu Sankar Sadasivan
Mahdi Soltanolkotabi
Soheil Feizi
MU
34
25
0
07 Mar 2023
A Unified Algebraic Perspective on Lipschitz Neural Networks
A Unified Algebraic Perspective on Lipschitz Neural Networks
Alexandre Araujo
Aaron J. Havens
Blaise Delattre
A. Allauzen
Bin Hu
AAML
41
54
0
06 Mar 2023
Fine-Grained ImageNet Classification in the Wild
Fine-Grained ImageNet Classification in the Wild
Maria Lymperaiou
Konstantinos Thomas
Giorgos Stamou
VLM
41
1
0
04 Mar 2023
Single Image Backdoor Inversion via Robust Smoothed Classifiers
Single Image Backdoor Inversion via Robust Smoothed Classifiers
Mingjie Sun
Zico Kolter
AAML
28
12
0
01 Mar 2023
A Comprehensive Study on Robustness of Image Classification Models:
  Benchmarking and Rethinking
A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking
Chang-Shu Liu
Yinpeng Dong
Wenzhao Xiang
Xiaohu Yang
Hang Su
Junyi Zhu
YueFeng Chen
Yuan He
H. Xue
Shibao Zheng
OOD
VLM
AAML
48
77
0
28 Feb 2023
Randomness in ML Defenses Helps Persistent Attackers and Hinders
  Evaluators
Randomness in ML Defenses Helps Persistent Attackers and Hinders Evaluators
Keane Lucas
Matthew Jagielski
Florian Tramèr
Lujo Bauer
Nicholas Carlini
AAML
35
11
0
27 Feb 2023
Defending Against Backdoor Attacks by Layer-wise Feature Analysis
Defending Against Backdoor Attacks by Layer-wise Feature Analysis
N. Jebreel
J. Domingo-Ferrer
Yiming Li
AAML
36
11
0
24 Feb 2023
Measuring Equality in Machine Learning Security Defenses: A Case Study
  in Speech Recognition
Measuring Equality in Machine Learning Security Defenses: A Case Study in Speech Recognition
Luke E. Richards
Edward Raff
Cynthia Matuszek
AAML
21
2
0
17 Feb 2023
Backdoor Learning for NLP: Recent Advances, Challenges, and Future
  Research Directions
Backdoor Learning for NLP: Recent Advances, Challenges, and Future Research Directions
Marwan Omar
SILM
AAML
44
20
0
14 Feb 2023
TextDefense: Adversarial Text Detection based on Word Importance Entropy
TextDefense: Adversarial Text Detection based on Word Importance Entropy
Lujia Shen
Xuhong Zhang
S. Ji
Yuwen Pu
Chunpeng Ge
Xing Yang
Yanghe Feng
AAML
28
8
0
12 Feb 2023
Making Substitute Models More Bayesian Can Enhance Transferability of
  Adversarial Examples
Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples
Qizhang Li
Yiwen Guo
W. Zuo
Hao Chen
AAML
55
36
0
10 Feb 2023
Closed-loop Analysis of Vision-based Autonomous Systems: A Case Study
Closed-loop Analysis of Vision-based Autonomous Systems: A Case Study
C. Păsăreanu
Ravi Mangal
D. Gopinath
Sinem Getir Yaman
Calum Imrie
R. Calinescu
Huafeng Yu
34
29
0
06 Feb 2023
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