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

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

31 January 2023

Neil G. Marchant

Benjamin I. P. Rubinstein

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

17 / 17 papers shown

Title
On the Security Risks of ML-based Malware Detection Systems: A Survey Ping He Yuhao Mao Changjiang Li Lorenzo Cavallaro Ting Wang Shouling Ji 17 0 0 16 May 2025
Living off the Analyst: Harvesting Features from Yara Rules for Malware Detection Siddhant Gupta Fred Lu Andrew Barlow Edward Raff Francis Ferraro Cynthia Matuszek Charles K. Nicholas James Holt 75 0 0 27 Nov 2024
CERT-ED: Certifiably Robust Text Classification for Edit Distance Zhuoqun Huang Yipeng Wang Seunghee Shin Benjamin I. P. Rubinstein AAML 48 1 0 01 Aug 2024
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 54 10 0 20 Jul 2024
A New Formulation for Zeroth-Order Optimization of Adversarial EXEmples in Malware Detection Marco Rando Luca Demetrio Lorenzo Rosasco Fabio Roli AAML 32 1 0 23 May 2024
RS-Reg: Probabilistic and Robust Certified Regression Through Randomized Smoothing Aref Miri Rekavandi Olga Ohrimenko Benjamin I. P. Rubinstein AAML 40 0 0 14 May 2024
Updating Windows Malware Detectors: Balancing Robustness and Regression against Adversarial EXEmples M. Kozák Luca Demetrio Dmitrijs Trizna Fabio Roli AAML 34 0 0 04 May 2024
Certified Adversarial Robustness of Machine Learning-based Malware Detectors via (De)Randomized Smoothing Daniel Gibert Luca Demetrio Giulio Zizzo Quan Le Jordi Planes Battista Biggio AAML 41 2 0 01 May 2024
Machine Learning for Windows Malware Detection and Classification: Methods, Challenges and Ongoing Research Daniel Gibert AAML 38 1 0 29 Apr 2024
Hierarchical Randomized Smoothing Yan Scholten Jan Schuchardt Aleksandar Bojchevski Stephan Günnemann AAML 38 5 0 24 Oct 2023
Certifying LLM Safety against Adversarial Prompting Aounon Kumar Chirag Agarwal Suraj Srinivas Aaron Jiaxun Li S. Feizi Himabindu Lakkaraju AAML 27 164 0 06 Sep 2023
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 34 18 0 31 Jul 2023
Adversarial Attacks against Binary Similarity Systems Gianluca Capozzi Daniele Cono DÉlia Giuseppe Antonio Di Luna Leonardo Querzoni AAML 26 0 0 20 Mar 2023
secml-malware: Pentesting Windows Malware Classifiers with Adversarial EXEmples in Python Luca Demetrio Battista Biggio AAML 37 11 0 26 Apr 2021
Globally-Robust Neural Networks Klas Leino Zifan Wang Matt Fredrikson AAML OOD 80 125 0 16 Feb 2021
Certified Robustness of Community Detection against Adversarial Structural Perturbation via Randomized Smoothing Jinyuan Jia Binghui Wang Xiaoyu Cao Neil Zhenqiang Gong AAML 83 83 0 09 Feb 2020
Certified Robustness to Adversarial Word Substitutions Robin Jia Aditi Raghunathan Kerem Göksel Percy Liang AAML 183 291 0 03 Sep 2019