Traces of Memorisation in Large Language Models for Code
Authors: Ali Al-Kaswan, Maliheh Izadi, Arie van Deursen | Published: 2023-12-18 | Updated: 2024-01-15
Data Leakage
Scalable Extraction of Training Data from (Production) Language Models
Authors: Milad Nasr, Nicholas Carlini, Jonathan Hayase, Matthew Jagielski, A. Feder Cooper, Daphne Ippolito, Christopher A. Choquette-Choo, Eric Wallace, Florian Tramèr, Katherine Lee | Published: 2023-11-28
Security Challenges for Cloud or Fog Computing-Based AI Applications
Authors: Amir Pakmehr, Andreas Aßmuth, Christoph P. Neumann, Gerald Pirkl | Published: 2023-10-30 | Updated: 2023-12-20
In-Context Unlearning: Language Models as Few Shot Unlearners
Authors: Martin Pawelczyk, Seth Neel, Himabindu Lakkaraju | Published: 2023-10-11 | Updated: 2024-06-06
“It’s a Fair Game”, or Is It? Examining How Users Navigate Disclosure Risks and Benefits When Using LLM-Based Conversational Agents
Authors: Zhiping Zhang, Michelle Jia, Hao-Ping Lee, Bingsheng Yao, Sauvik Das, Ada Lerner, Dakuo Wang, Tianshi Li | Published: 2023-09-20 | Updated: 2024-04-02
What can we learn from Data Leakage and Unlearning for Law?
Authors: Jaydeep Borkar | Published: 2023-07-19
MasterKey: Automated Jailbreak Across Multiple Large Language Model Chatbots
Authors: Gelei Deng, Yi Liu, Yuekang Li, Kailong Wang, Ying Zhang, Zefeng Li, Haoyu Wang, Tianwei Zhang, Yang Liu | Published: 2023-07-16 | Updated: 2023-10-25
ProPILE: Probing Privacy Leakage in Large Language Models
Authors: Siwon Kim, Sangdoo Yun, Hwaran Lee, Martin Gubri, Sungroh Yoon, Seong Joon Oh | Published: 2023-07-04
Overconfidence is a Dangerous Thing: Mitigating Membership Inference Attacks by Enforcing Less Confident Prediction
Authors: Zitao Chen, Karthik Pattabiraman | Published: 2023-07-04
Distribution inference risks: Identifying and mitigating sources of leakage
Authors: Valentin Hartmann, Léo Meynent, Maxime Peyrard, Dimitrios Dimitriadis, Shruti Tople, Robert West | Published: 2022-09-18