An Empirical Study on Using Large Language Models to Analyze Software Supply Chain Security Failures
Authors: Tanmay Singla, Dharun Anandayuvaraj, Kelechi G. Kalu, Taylor R. Schorlemmer, James C. Davis | Published: 2023-08-09
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ModSec-AdvLearn: Countering Adversarial SQL Injections with Robust Machine Learning
Authors: Giuseppe Floris, Christian Scano, Biagio Montaruli, Luca Demetrio, Andrea Valenza, Luca Compagna, Davide Ariu, Luca Piras, Davide Balzarotti, Battista Biggio | Published: 2023-08-09 | Updated: 2025-05-21
Data-Free Model Extraction Attacks in the Context of Object Detection
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A Feature Set of Small Size for the PDF Malware Detection
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Data-Driven Intelligence can Revolutionize Today’s Cybersecurity World: A Position Paper
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VulLibGen: Generating Names of Vulnerability-Affected Packages via a Large Language Model
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Different Mechanisms of Machine Learning and Optimization Algorithms Utilized in Intrusion Detection Systems
Authors: Mohammad Aziz, Ali Saeed Alfoudi | Published: 2023-08-08
A Survey on Decentralized Federated Learning
Authors: Edoardo Gabrielli, Giovanni Pica, Gabriele Tolomei | Published: 2023-08-08
Pelta: Shielding Transformers to Mitigate Evasion Attacks in Federated Learning
Authors: Simon Queyrut, Yérom-David Bromberg, Valerio Schiavoni | Published: 2023-08-08
Accurate, Explainable, and Private Models: Providing Recourse While Minimizing Training Data Leakage
Authors: Catherine Huang, Chelse Swoopes, Christina Xiao, Jiaqi Ma, Himabindu Lakkaraju | Published: 2023-08-08