Constrained Twin Variational Auto-Encoder for Intrusion Detection in IoT Systems
Authors: Phai Vu Dinh, Quang Uy Nguyen, Dinh Thai Hoang, Diep N. Nguyen, Son Pham Bao, Eryk Dutkiewicz | Published: 2023-12-05
Data Generation
Assessment of Differentially Private Synthetic Data for Utility and Fairness in End-to-End Machine Learning Pipelines for Tabular Data
Authors: Mayana Pereira, Meghana Kshirsagar, Sumit Mukherjee, Rahul Dodhia, Juan Lavista Ferres, Rafael de Sousa | Published: 2023-10-30
Detecting Pretraining Data from Large Language Models
Authors: Weijia Shi, Anirudh Ajith, Mengzhou Xia, Yangsibo Huang, Daogao Liu, Terra Blevins, Danqi Chen, Luke Zettlemoyer | Published: 2023-10-25 | Updated: 2024-03-09
Poison is Not Traceless: Fully-Agnostic Detection of Poisoning Attacks
Authors: Xinglong Chang, Katharina Dost, Gillian Dobbie, Jörg Wicker | Published: 2023-10-24
Privacy Amplification for Matrix Mechanisms
Authors: Christopher A. Choquette-Choo, Arun Ganesh, Thomas Steinke, Abhradeep Thakurta | Published: 2023-10-24 | Updated: 2024-05-04
REMARK-LLM: A Robust and Efficient Watermarking Framework for Generative Large Language Models
Authors: Ruisi Zhang, Shehzeen Samarah Hussain, Paarth Neekhara, Farinaz Koushanfar | Published: 2023-10-18 | Updated: 2024-04-08
Private Synthetic Data Meets Ensemble Learning
Authors: Haoyuan Sun, Navid Azizan, Akash Srivastava, Hao Wang | Published: 2023-10-15
Embarrassingly Simple Text Watermarks
Authors: Ryoma Sato, Yuki Takezawa, Han Bao, Kenta Niwa, Makoto Yamada | Published: 2023-10-13
Characterizing climate pathways using feature importance on echo state networks
Authors: Katherine Goode, Daniel Ries, Kellie McClernon | Published: 2023-10-12
ZEST: Attention-based Zero-Shot Learning for Unseen IoT Device Classification
Authors: Binghui Wu, Philipp Gysel, Dinil Mon Divakaran, Mohan Gurusamy | Published: 2023-10-12 | Updated: 2024-01-12