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RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers
  via Randomized Deletion
v1v2v3 (latest)

RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers via Randomized Deletion

Neural Information Processing Systems (NeurIPS), 2023
31 January 2023
Zhuoqun Huang
Neil G. Marchant
Keane Lucas
Lujo Bauer
O. Ohrimenko
Benjamin I. P. Rubinstein
    AAML
ArXiv (abs)PDFHTML

Papers citing "RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers via Randomized Deletion"

14 / 14 papers shown
Title
Position: Certified Robustness Does Not (Yet) Imply Model Security
Position: Certified Robustness Does Not (Yet) Imply Model Security
Andrew C. Cullen
Paul Montague
S. Erfani
Benjamin I. P. Rubinstein
187
0
0
16 Jun 2025
On the Security Risks of ML-based Malware Detection Systems: A Survey
On the Security Risks of ML-based Malware Detection Systems: A Survey
Ping He
Yuhao Mao
Changjiang Li
Lorenzo Cavallaro
Ting Wang
Shouling Ji
282
0
0
16 May 2025
Living off the Analyst: Harvesting Features from Yara Rules for Malware
  Detection
Living off the Analyst: Harvesting Features from Yara Rules for Malware DetectionBigData Congress [Services Society] (BSS), 2024
Siddhant Gupta
Fred Lu
Andrew Barlow
Edward Raff
Francis Ferraro
Cynthia Matuszek
Charles K. Nicholas
James Holt
265
1
0
27 Nov 2024
CERT-ED: Certifiably Robust Text Classification for Edit Distance
CERT-ED: Certifiably Robust Text Classification for Edit DistanceConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Zhuoqun Huang
Yipeng Wang
Seunghee Shin
Benjamin I. P. Rubinstein
AAML
217
1
0
01 Aug 2024
Operationalizing a Threat Model for Red-Teaming Large Language Models (LLMs)
Operationalizing a Threat Model for Red-Teaming Large Language Models (LLMs)
Apurv Verma
Satyapriya Krishna
Sebastian Gehrmann
Madhavan Seshadri
Anu Pradhan
Tom Ault
Leslie Barrett
David Rabinowitz
John Doucette
Nhathai Phan
344
36
0
20 Jul 2024
A New Formulation for Zeroth-Order Optimization of Adversarial EXEmples
  in Malware Detection
A New Formulation for Zeroth-Order Optimization of Adversarial EXEmples in Malware Detection
Marco Rando
Christian Scano
Lorenzo Rosasco
Fabio Roli
AAML
180
3
0
23 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
157
3
0
14 May 2024
Updating Windows Malware Detectors: Balancing Robustness and Regression against Adversarial EXEmples
Updating Windows Malware Detectors: Balancing Robustness and Regression against Adversarial EXEmplesComputers & security (Comput. Secur.), 2024
M. Kozák
Christian Scano
Dmitrijs Trizna
Fabio Roli
AAML
245
1
0
04 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
195
5
0
01 May 2024
Machine Learning for Windows Malware Detection and Classification:
  Methods, Challenges and Ongoing Research
Machine Learning for Windows Malware Detection and Classification: Methods, Challenges and Ongoing Research
Daniel Gibert
AAML
145
4
0
29 Apr 2024
Hierarchical Randomized Smoothing
Hierarchical Randomized SmoothingNeural Information Processing Systems (NeurIPS), 2023
Yan Scholten
Jan Schuchardt
Aleksandar Bojchevski
Stephan Günnemann
AAML
411
8
0
24 Oct 2023
Certifying LLM Safety against Adversarial Prompting
Certifying LLM Safety against Adversarial Prompting
Aounon Kumar
Chirag Agarwal
Suraj Srinivas
Aaron Jiaxun Li
Soheil Feizi
Himabindu Lakkaraju
AAML
556
257
0
06 Sep 2023
Text-CRS: A Generalized Certified Robustness Framework against Textual
  Adversarial Attacks
Text-CRS: A Generalized Certified Robustness Framework against Textual Adversarial AttacksIEEE Symposium on Security and Privacy (IEEE S&P), 2023
Xinyu Zhang
Hanbin Hong
Yuan Hong
Peng Huang
Binghui Wang
Zhongjie Ba
Kui Ren
SILM
314
31
0
31 Jul 2023
Adversarial Attacks against Binary Similarity Systems
Adversarial Attacks against Binary Similarity SystemsIEEE Access (IEEE Access), 2023
Gianluca Capozzi
Daniele Cono DÉlia
Giuseppe Antonio Di Luna
Leonardo Querzoni
AAML
143
4
0
20 Mar 2023
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