Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs
Authors: Filippo Scaramuzza, Giovanni Quattrocchi, Damian A. Tamburri | Published: 2025-05-26
モデル評価手法
Deconstructing Obfuscation: A four-dimensional framework for evaluating Large Language Models assembly code deobfuscation capabilities
Authors: Anton Tkachenko, Dmitrij Suskevic, Benjamin Adolphi | Published: 2025-05-26
Detecting Quishing Attacks with Machine Learning Techniques Through QR Code Analysis
Authors: Fouad Trad, Ali Chehab | Published: 2025-05-06
ExpProof : Operationalizing Explanations for Confidential Models with ZKPs
Authors: Chhavi Yadav, Evan Monroe Laufer, Dan Boneh, Kamalika Chaudhuri | Published: 2025-02-06 | Updated: 2025-05-27
Defeating Opaque Predicates Statically through Machine Learning and Binary Analysis
Authors: Ramtine Tofighi-Shirazi, Irina Asăvoae, Philippe Elbaz-Vincent, Thanh-Ha Le | Published: 2019-09-04
A Target-Agnostic Attack on Deep Models: Exploiting Security Vulnerabilities of Transfer Learning
Authors: Shahbaz Rezaei, Xin Liu | Published: 2019-04-08 | Updated: 2020-01-29
A Conjoint Application of Data Mining Techniques for Analysis of Global Terrorist Attacks — Prevention and Prediction for Combating Terrorism
Authors: Vivek Kumar, Manuel Mazzara, Maj. Gen., Angelo Messina, JooYoung Lee | Published: 2019-01-19 | Updated: 2019-02-21
Data mining for detecting Bitcoin Ponzi schemes
Authors: Massimo Bartoletti, Barbara Pes, Sergio Serusi | Published: 2018-03-01
Trustless Machine Learning Contracts; Evaluating and Exchanging Machine Learning Models on the Ethereum Blockchain
Authors: A. Besir Kurtulmus, Kenny Daniel | Published: 2018-02-27
Understanding and Enhancing the Transferability of Adversarial Examples
Authors: Lei Wu, Zhanxing Zhu, Cheng Tai, Weinan E | Published: 2018-02-27