Detecting Hard-Coded Credentials in Software Repositories via LLMs
Authors: Chidera Biringa, Gokhan Kul | Published: 2025-06-16
Performance Evaluation
Chain-of-Code Collapse: Reasoning Failures in LLMs via Adversarial Prompting in Code Generation
Authors: Jaechul Roh, Varun Gandhi, Shivani Anilkumar, Arin Garg | Published: 2025-06-08 | Updated: 2025-06-12
aiXamine: Simplified LLM Safety and Security
Authors: Fatih Deniz, Dorde Popovic, Yazan Boshmaf, Euisuh Jeong, Minhaj Ahmad, Sanjay Chawla, Issa Khalil | Published: 2025-04-21 | Updated: 2025-04-23
How Effective Can Dropout Be in Multiple Instance Learning ?
Authors: Wenhui Zhu, Peijie Qiu, Xiwen Chen, Zhangsihao Yang, Aristeidis Sotiras, Abolfazl Razi, Yalin Wang | Published: 2025-04-21 | Updated: 2025-05-20
Split-n-Chain: Privacy-Preserving Multi-Node Split Learning with Blockchain-Based Auditability
Authors: Mukesh Sahani, Binanda Sengupta | Published: 2025-03-10 | Updated: 2025-04-15
Unsupervised anomaly detection on cybersecurity data streams: a case with BETH dataset
Authors: Evgeniy Eremin | Published: 2025-03-06 | Updated: 2025-06-16
Towards Action Hijacking of Large Language Model-based Agent
Authors: Yuyang Zhang, Kangjie Chen, Jiaxin Gao, Ronghao Cui, Run Wang, Lina Wang, Tianwei Zhang | Published: 2024-12-14 | Updated: 2025-06-12
Free Record-Level Privacy Risk Evaluation Through Artifact-Based Methods
Authors: Joseph Pollock, Igor Shilov, Euodia Dodd, Yves-Alexandre de Montjoye | Published: 2024-11-08 | Updated: 2025-06-12
“You Can’t Fix What You Can’t Measure”: Privately Measuring Demographic Performance Disparities in Federated Learning
Authors: Marc Juarez, Aleksandra Korolova | Published: 2022-06-24 | Updated: 2023-01-11
Darknet Traffic Classification and Adversarial Attacks
Authors: Nhien Rust-Nguyen, Mark Stamp | Published: 2022-06-12