Mark Vero

According to our database, Mark Vero authored at least 13 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Practical Attacks against Black-box Code Completion Engines.

Slobodan Jenko, Jingxuan He, Niels Mündler, Mark Vero, Martin T. Vechev

CoRR, 2024

A Synthetic Dataset for Personal Attribute Inference.

Hanna Yukhymenko, Robin Staab, Mark Vero, Martin T. Vechev

CoRR, 2024

Back to the Drawing Board for Fair Representation Learning.

Angéline Pouget, Nikola Jovanovic, Mark Vero, Robin Staab, Martin T. Vechev

CoRR, 2024

Exploiting LLM Quantization.

Kazuki Egashira, Mark Vero, Robin Staab, Jingxuan He, Martin T. Vechev

CoRR, 2024

Private Attribute Inference from Images with Vision-Language Models.

Batuhan Tömekçe, Mark Vero, Robin Staab, Martin T. Vechev

CoRR, 2024

Large Language Models are Advanced Anonymizers.

Robin Staab, Mark Vero, Mislav Balunovic, Martin T. Vechev

CoRR, 2024

CuTS: Customizable Tabular Synthetic Data Generation.

Mark Vero, Mislav Balunovic, Martin T. Vechev

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Instruction Tuning for Secure Code Generation.

Jingxuan He, Mark Vero, Gabriela Krasnopolska, Martin T. Vechev

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Beyond Memorization: Violating Privacy via Inference with Large Language Models.

Robin Staab, Mark Vero, Mislav Balunovic, Martin T. Vechev

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Programmable Synthetic Tabular Data Generation.

Mark Vero, Mislav Balunovic, Martin T. Vechev

CoRR, 2023

TabLeak: Tabular Data Leakage in Federated Learning.

Mark Vero, Mislav Balunovic, Dimitar Iliev Dimitrov, Martin T. Vechev

Proceedings of the International Conference on Machine Learning, 2023

2022

Data Leakage in Tabular Federated Learning.

Mark Vero, Mislav Balunovic, Dimitar I. Dimitrov, Martin T. Vechev

CoRR, 2022

Reducing neural architecture search spaces with training-free statistics and computational graph clustering.

Thorir Mar Ingolfsson, Mark Vero, Xiaying Wang, Lorenzo Lamberti, Luca Benini, Matteo Spallanzani

Proceedings of the CF '22: 19th ACM International Conference on Computing Frontiers, Turin, Italy, May 17, 2022