[email protected] FIRE2021: Shared Track on Abusive Threat Identification in Urdu. - Maaz Amjad; Alisa Zhila; Grigori Sidorov; Andrey Labunets; Sabur Butt; Hamza Imam Amjad; Oxana Vitman; Alexander F. Gelbukh (FIRE, 2021)

Overview of Abusive and Threatening Language Detection in Urdu at FIRE 2021. - Maaz Amjad; Alisa Zhila; Grigori Sidorov; Andrey Labunets; Sabur Butt; Hamza Imam Amjad; Oxana Vitman; Alexander F. Gelbukh (FIRE (Working Notes), 2021)

Re-purposing Perceptual Hashing based Client Side Scanning for Physical Surveillance. - Ashish Hooda; Andrey Labunets; Tadayoshi Kohno; Earlence Fernandes (CoRR, 2022)

Experimental Analyses of the Physical Surveillance Risks in Client-Side Content Scanning. - Ashish Hooda; Andrey Labunets; Tadayoshi Kohno; Earlence Fernandes (NDSS, 2024)

An Empirical Analysis on the Use and Reporting of National Security Letters. - Alex Bellon; Miro Haller; Andrey Labunets; Enze Liu 001; Stefan Savage (CSLAW, 2025)

Fun-tuning: Characterizing the Vulnerability of Proprietary LLMs to Optimization-Based Prompt Injection Attacks via the Fine-Tuning Interface. - Andrey Labunets; Nishit V. Pandya; Ashish Hooda; Xiaohan Fu; Earlence Fernandes (SP, 2025)

Computing Optimization-Based Prompt Injections Against Closed-Weights Models By Misusing a Fine-Tuning API. - Andrey Labunets; Nishit V. Pandya; Ashish Hooda; Xiaohan Fu; Earlence Fernandes (CoRR, 2025)

Best Current Practice for OAuth 2.0 Security. - Torsten Lodderstedt; John Bradley; Andrey Labunets; Daniel Fett (RFC, 2025)

May I have your Attention? Breaking Fine-Tuning based Prompt Injection Defenses using Architecture-Aware Attacks. - Nishit V. Pandya; Andrey Labunets; Sicun Gao; Earlence Fernandes (CoRR, 2025)