Mark Vero

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 13

Top Topics

Language Modelling

Document Ranking

Top Venues

Publications

Robin Staab, Mark Vero, Mislav Balunovic, Martin T. Vechev
Beyond Memorization: Violating Privacy via Inference with Large Language Models. ICLR (2024)
Batuhan Tömekçe, Mark Vero, Robin Staab, Martin T. Vechev
Private Attribute Inference from Images with Vision-Language Models. CoRR (2024)
Jingxuan He, Mark Vero, Gabriela Krasnopolska, Martin T. Vechev
Instruction Tuning for Secure Code Generation. CoRR (2024)
Angéline Pouget, Nikola Jovanovic, Mark Vero, Robin Staab, Martin T. Vechev
Back to the Drawing Board for Fair Representation Learning. CoRR (2024)
Kazuki Egashira, Mark Vero, Robin Staab, Jingxuan He, Martin T. Vechev
Exploiting LLM Quantization. CoRR (2024)
Robin Staab, Mark Vero, Mislav Balunovic, Martin T. Vechev
Large Language Models are Advanced Anonymizers. CoRR (2024)
Hanna Yukhymenko, Robin Staab, Mark Vero, Martin T. Vechev
A Synthetic Dataset for Personal Attribute Inference. CoRR (2024)
Mark Vero, Mislav Balunovic, Martin T. Vechev
Programmable Synthetic Tabular Data Generation. CoRR (2023)
Robin Staab, Mark Vero, Mislav Balunovic, Martin T. Vechev
Beyond Memorization: Violating Privacy Via Inference with Large Language Models. CoRR (2023)
Mark Vero, Mislav Balunovic, Dimitar Iliev Dimitrov, Martin T. Vechev
TabLeak: Tabular Data Leakage in Federated Learning. ICML (2023)
Thorir Mar Ingolfsson, Mark Vero, Xiaying Wang, Lorenzo Lamberti, Luca Benini, Matteo Spallanzani
Reducing Neural Architecture Search Spaces with Training-Free Statistics and Computational Graph Clustering. CoRR (2022)
Mark Vero, Mislav Balunovic, Dimitar I. Dimitrov, Martin T. Vechev
Data Leakage in Tabular Federated Learning. CoRR (2022)
Thorir Mar Ingolfsson, Mark Vero, Xiaying Wang, Lorenzo Lamberti, Luca Benini, Matteo Spallanzani
Reducing neural architecture search spaces with training-free statistics and computational graph clustering. CF (2022)