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Certified Adversarial Robustness via Randomized Smoothing
v1v2 (latest)

Certified Adversarial Robustness via Randomized Smoothing

8 February 2019
Jeremy M. Cohen
Elan Rosenfeld
J. Zico Kolter
    AAML
ArXiv (abs)PDFHTMLGithub (390★)

Papers citing "Certified Adversarial Robustness via Randomized Smoothing"

50 / 1,313 papers shown
Title
Single Character Perturbations Break LLM Alignment
Single Character Perturbations Break LLM Alignment
Leon Lin
Hannah Brown
Kenji Kawaguchi
Michael Shieh
AAML
440
2
0
03 Jul 2024
SPLITZ: Certifiable Robustness via Split Lipschitz Randomized Smoothing
SPLITZ: Certifiable Robustness via Split Lipschitz Randomized Smoothing
Meiyu Zhong
Ravi Tandon
134
3
0
03 Jul 2024
Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion
Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion
Boyuan Chen
Diego Marti Monso
Yilun Du
Max Simchowitz
Russ Tedrake
Vincent Sitzmann
DiffM
191
109
0
01 Jul 2024
Consistency Purification: Effective and Efficient Diffusion Purification
  towards Certified Robustness
Consistency Purification: Effective and Efficient Diffusion Purification towards Certified Robustness
Yiquan Li
Zhongzhu Chen
Kun Jin
Jiongxiao Wang
Bo Li
Chaowei Xiao
DiffM
91
2
0
30 Jun 2024
Data-Driven Lipschitz Continuity: A Cost-Effective Approach to Improve
  Adversarial Robustness
Data-Driven Lipschitz Continuity: A Cost-Effective Approach to Improve Adversarial Robustness
Erh-Chung Chen
Pin-Yu Chen
I-Hsin Chung
Che-Rung Lee
96
3
0
28 Jun 2024
Breaking the Barrier: Enhanced Utility and Robustness in Smoothed DRL
  Agents
Breaking the Barrier: Enhanced Utility and Robustness in Smoothed DRL Agents
Chung-En Sun
Sicun Gao
Tsui-Wei Weng
AAML
67
4
0
26 Jun 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
128
2
0
25 Jun 2024
Enhancing robustness of data-driven SHM models: adversarial training
  with circle loss
Enhancing robustness of data-driven SHM models: adversarial training with circle loss
Xiangli Yang
Xijie Deng
Hanwei Zhang
Yang Zou
Jianxi Yang
AAML
69
0
0
20 Jun 2024
Elliptical Attention
Elliptical Attention
Stefan K. Nielsen
Laziz U. Abdullaev
R. Teo
Tan M. Nguyen
87
4
0
19 Jun 2024
MaskPure: Improving Defense Against Text Adversaries with Stochastic
  Purification
MaskPure: Improving Defense Against Text Adversaries with Stochastic Purification
Harrison Gietz
Jugal Kalita
AAML
80
1
0
18 Jun 2024
Watch the Watcher! Backdoor Attacks on Security-Enhancing Diffusion
  Models
Watch the Watcher! Backdoor Attacks on Security-Enhancing Diffusion Models
Changjiang Li
Ren Pang
Bochuan Cao
Jinghui Chen
Fenglong Ma
Shouling Ji
Ting Wang
DiffM
85
4
0
14 Jun 2024
Adaptive Randomized Smoothing: Certified Adversarial Robustness for Multi-Step Defences
Adaptive Randomized Smoothing: Certified Adversarial Robustness for Multi-Step Defences
Saiyue Lyu
Shadab Shaikh
Frederick Shpilevskiy
Evan Shelhamer
Mathias Lécuyer
AAML
92
1
0
14 Jun 2024
MirrorCheck: Efficient Adversarial Defense for Vision-Language Models
MirrorCheck: Efficient Adversarial Defense for Vision-Language Models
Samar Fares
Klea Ziu
Toluwani Aremu
Nikita Durasov
Martin Takáč
Pascal Fua
Karthik Nandakumar
Ivan Laptev
VLMAAML
107
5
0
13 Jun 2024
Compositional Curvature Bounds for Deep Neural Networks
Compositional Curvature Bounds for Deep Neural Networks
Taha Entesari
Sina Sharifi
Mahyar Fazlyab
AAML
85
1
0
07 Jun 2024
CTBENCH: A Library and Benchmark for Certified Training
CTBENCH: A Library and Benchmark for Certified Training
Yuhao Mao
Stefan Balauca
Martin Vechev
OOD
139
5
0
07 Jun 2024
Distributional Adversarial Loss
Distributional Adversarial Loss
Saba Ahmadi
Siddharth Bhandari
Avrim Blum
Chen Dan
Prabhav Jain
83
0
0
05 Jun 2024
Effects of Exponential Gaussian Distribution on (Double Sampling)
  Randomized Smoothing
Effects of Exponential Gaussian Distribution on (Double Sampling) Randomized Smoothing
Youwei Shu
Xi Xiao
Derui Wang
Yuxin Cao
Siji Chen
Jason Xue
Linyi Li
Yue Liu
87
2
0
04 Jun 2024
Advancing Generalized Transfer Attack with Initialization Derived
  Bilevel Optimization and Dynamic Sequence Truncation
Advancing Generalized Transfer Attack with Initialization Derived Bilevel Optimization and Dynamic Sequence Truncation
Yaohua Liu
Jiaxin Gao
Xuan Liu
Xianghao Jiao
Xin-Yue Fan
Risheng Liu
100
1
0
04 Jun 2024
CR-UTP: Certified Robustness against Universal Text Perturbations on
  Large Language Models
CR-UTP: Certified Robustness against Universal Text Perturbations on Large Language Models
Qian Lou
Xin Liang
Jiaqi Xue
Yancheng Zhang
Rui Xie
Mengxin Zheng
AAML
78
0
0
04 Jun 2024
Safeguarding Large Language Models: A Survey
Safeguarding Large Language Models: A Survey
Yi Dong
Ronghui Mu
Yanghao Zhang
Siqi Sun
Tianle Zhang
...
Yi Qi
Jinwei Hu
Jie Meng
Saddek Bensalem
Xiaowei Huang
OffRLKELMAILaw
101
26
0
03 Jun 2024
Towards General Robustness Verification of MaxPool-based Convolutional
  Neural Networks via Tightening Linear Approximation
Towards General Robustness Verification of MaxPool-based Convolutional Neural Networks via Tightening Linear Approximation
Yuan Xiao
Shiqing Ma
Juan Zhai
Chunrong Fang
Jinyuan Jia
Zhenyu Chen
AAML
90
1
0
02 Jun 2024
Certifying Global Robustness for Deep Neural Networks
Certifying Global Robustness for Deep Neural Networks
You Li
Guannan Zhao
Shuyu Kong
Yunqi He
Hai Zhou
AAML
66
0
0
31 May 2024
RIGID: A Training-free and Model-Agnostic Framework for Robust
  AI-Generated Image Detection
RIGID: A Training-free and Model-Agnostic Framework for Robust AI-Generated Image Detection
Zhiyuan He
Pin-Yu Chen
Tsung-Yi Ho
103
13
0
30 May 2024
AI Risk Management Should Incorporate Both Safety and Security
AI Risk Management Should Incorporate Both Safety and Security
Xiangyu Qi
Yangsibo Huang
Yi Zeng
Edoardo Debenedetti
Jonas Geiping
...
Chaowei Xiao
Yue Liu
Dawn Song
Peter Henderson
Prateek Mittal
AAML
127
12
0
29 May 2024
Verifiably Robust Conformal Prediction
Verifiably Robust Conformal Prediction
Linus Jeary
Tom Kuipers
Mehran Hosseini
Nicola Paoletti
AAML
96
6
0
29 May 2024
A One-Layer Decoder-Only Transformer is a Two-Layer RNN: With an
  Application to Certified Robustness
A One-Layer Decoder-Only Transformer is a Two-Layer RNN: With an Application to Certified Robustness
Yuhao Zhang
Aws Albarghouthi
Loris Dántoni
OffRL
68
0
0
27 May 2024
Spectral regularization for adversarially-robust representation learning
Spectral regularization for adversarially-robust representation learning
Sheng Yang
Jacob A. Zavatone-Veth
Cengiz Pehlevan
AAMLOOD
121
0
0
27 May 2024
The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective
The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective
Nils Philipp Walter
Linara Adilova
Jilles Vreeken
Michael Kamp
AAML
121
2
0
27 May 2024
Enhancing Adversarial Transferability Through Neighborhood Conditional
  Sampling
Enhancing Adversarial Transferability Through Neighborhood Conditional Sampling
Chunlin Qiu
Yiheng Duan
Lingchen Zhao
Qian Wang
AAML
106
3
0
25 May 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
72
0
0
25 May 2024
Robust width: A lightweight and certifiable adversarial defense
Robust width: A lightweight and certifiable adversarial defense
Jonathan Peck
Bart Goossens
AAML
88
2
0
24 May 2024
Can Implicit Bias Imply Adversarial Robustness?
Can Implicit Bias Imply Adversarial Robustness?
Hancheng Min
Rene Vidal
99
3
0
24 May 2024
How Does Bayes Error Limit Probabilistic Robust Accuracy
How Does Bayes Error Limit Probabilistic Robust Accuracy
Ruihan Zhang
Jun Sun
AAML
88
1
0
23 May 2024
Certified Robustness against Sparse Adversarial Perturbations via Data
  Localization
Certified Robustness against Sparse Adversarial Perturbations via Data Localization
Ambar Pal
Rene Vidal
Jeremias Sulam
67
0
0
23 May 2024
Learning to Transform Dynamically for Better Adversarial Transferability
Learning to Transform Dynamically for Better Adversarial Transferability
Rongyi Zhu
Zeliang Zhang
Susan Liang
Zhuo Liu
Chenliang Xu
AAML
135
18
0
23 May 2024
Towards Certification of Uncertainty Calibration under Adversarial Attacks
Towards Certification of Uncertainty Calibration under Adversarial Attacks
Cornelius Emde
Francesco Pinto
Thomas Lukasiewicz
Philip Torr
Adel Bibi
AAML
130
1
0
22 May 2024
Certified Robust Accuracy of Neural Networks Are Bounded due to Bayes
  Errors
Certified Robust Accuracy of Neural Networks Are Bounded due to Bayes Errors
Ruihan Zhang
Jun Sun
AAML
76
3
0
19 May 2024
Boosting Few-Pixel Robustness Verification via Covering Verification
  Designs
Boosting Few-Pixel Robustness Verification via Covering Verification Designs
Yuval Shapira
Naor Wiesel
Shahar Shabelman
Dana Drachsler-Cohen
AAML
87
0
0
17 May 2024
Safeguarding Vision-Language Models Against Patched Visual Prompt
  Injectors
Safeguarding Vision-Language Models Against Patched Visual Prompt Injectors
Jiachen Sun
Changsheng Wang
Jiong Wang
Yiwei Zhang
Chaowei Xiao
AAMLVLM
92
4
0
17 May 2024
Relational DNN Verification With Cross Executional Bound Refinement
Relational DNN Verification With Cross Executional Bound Refinement
Debangshu Banerjee
Gagandeep Singh
AAML
76
5
0
16 May 2024
Cross-Input Certified Training for Universal Perturbations
Cross-Input Certified Training for Universal Perturbations
Changming Xu
Gagandeep Singh
AAML
67
2
0
15 May 2024
RS-Reg: Probabilistic and Robust Certified Regression Through Randomized
  Smoothing
RS-Reg: Probabilistic and Robust Certified Regression Through Randomized Smoothing
Aref Miri Rekavandi
Olga Ohrimenko
Benjamin I. P. Rubinstein
AAML
78
1
0
14 May 2024
Certifying Robustness of Graph Convolutional Networks for Node
  Perturbation with Polyhedra Abstract Interpretation
Certifying Robustness of Graph Convolutional Networks for Node Perturbation with Polyhedra Abstract Interpretation
Boqi Chen
Kristóf Marussy
Oszkár Semeráth
Gunter Mussbacher
Dániel Varró
AAML
175
0
0
14 May 2024
SpeechGuard: Exploring the Adversarial Robustness of Multimodal Large
  Language Models
SpeechGuard: Exploring the Adversarial Robustness of Multimodal Large Language Models
Raghuveer Peri
Sai Muralidhar Jayanthi
S. Ronanki
Anshu Bhatia
Karel Mundnich
...
Srikanth Vishnubhotla
Daniel Garcia-Romero
S. Srinivasan
Kyu J. Han
Katrin Kirchhoff
AAML
87
3
0
14 May 2024
Certified $\ell_2$ Attribution Robustness via Uniformly Smoothed
  Attributions
Certified ℓ2\ell_2ℓ2​ Attribution Robustness via Uniformly Smoothed Attributions
Fan Wang
Adams Wai-Kin Kong
86
2
0
10 May 2024
Improving Transferable Targeted Adversarial Attack via Normalized Logit
  Calibration and Truncated Feature Mixing
Improving Transferable Targeted Adversarial Attack via Normalized Logit Calibration and Truncated Feature Mixing
Juanjuan Weng
Zhiming Luo
Shaozi Li
AAML
92
0
0
10 May 2024
Verified Neural Compressed Sensing
Verified Neural Compressed Sensing
Rudy Bunel
Dj Dvijotham
M. P. Kumar
Alessandro De Palma
Robert Stanforth
MLT
105
2
0
07 May 2024
Enhancing O-RAN Security: Evasion Attacks and Robust Defenses for Graph
  Reinforcement Learning-based Connection Management
Enhancing O-RAN Security: Evasion Attacks and Robust Defenses for Graph Reinforcement Learning-based Connection Management
Ravikumar Balakrishnan
Marius Arvinte
N. Himayat
Hosein Nikopour
Hassnaa Moustafa
AAML
65
2
0
06 May 2024
Differentially Private Synthetic Data with Private Density Estimation
Differentially Private Synthetic Data with Private Density Estimation
Nikolija Bojkovic
Po-Ling Loh
SyDa
67
0
0
06 May 2024
Certified Adversarial Robustness of Machine Learning-based Malware
  Detectors via (De)Randomized Smoothing
Certified Adversarial Robustness of Machine Learning-based Malware Detectors via (De)Randomized Smoothing
Daniel Gibert
Christian Scano
Giulio Zizzo
Quan Le
Jordi Planes
Battista Biggio
AAML
105
3
0
01 May 2024
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