Can Large Language Models Improve Phishing Defense? A Large-Scale Controlled Experiment on Warning Dialogue Explanations
Authors: Federico Maria Cau, Giuseppe Desolda, Francesco Greco, Lucio Davide Spano, Luca Viganò | Published: 2025-07-10
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Phishing Detection in the Gen-AI Era: Quantized LLMs vs Classical Models
Authors: Jikesh Thapa, Gurrehmat Chahal, Serban Voinea Gabreanu, Yazan Otoum | Published: 2025-07-10
ZKTorch: Compiling ML Inference to Zero-Knowledge Proofs via Parallel Proof Accumulation
Authors: Bing-Jyue Chen, Lilia Tang, Daniel Kang | Published: 2025-07-09
PBa-LLM: Privacy- and Bias-aware NLP using Named-Entity Recognition (NER)
Authors: Gonzalo Mancera, Aythami Morales, Julian Fierrez, Ruben Tolosana, Alejandro Penna, Miguel Lopez-Duran, Francisco Jurado, Alvaro Ortigosa | Published: 2025-06-30 | Updated: 2025-07-09
Detecting Hard-Coded Credentials in Software Repositories via LLMs
Authors: Chidera Biringa, Gokhan Kul | Published: 2025-06-16
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: LLM Safety and Security Simplified
Authors: Fatih Deniz, Dorde Popovic, Yazan Boshmaf, Euisuh Jeong, Minhaj Ahmad, Sanjay Chawla, Issa Khalil | Published: 2025-04-21
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
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