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
パフォーマンス評価
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
“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
Spam Detection Using BERT
Authors: Thaer Sahmoud, Mohammad Mikki | Published: 2022-06-06 | Updated: 2022-06-07
Attack vs Benign Network Intrusion Traffic Classification
Authors: M. Andrecut | Published: 2022-05-15
On the Importance of Architecture and Feature Selection in Differentially Private Machine Learning
Authors: Wenxuan Bao, Luke A. Bauer, Vincent Bindschaedler | Published: 2022-05-13
l-Leaks: Membership Inference Attacks with Logits
Authors: Shuhao Li, Yajie Wang, Yuanzhang Li, Yu-an Tan | Published: 2022-05-13
A Comprehensive Benchmark Suite for Intel SGX
Authors: Sandeep Kumar, Abhisek Panda, Smruti R. Sarangi | Published: 2022-05-13