Mark Vero

According to our database1, Mark Vero authored at least 13 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Practical Attacks against Black-box Code Completion Engines.
CoRR, 2024

A Synthetic Dataset for Personal Attribute Inference.
CoRR, 2024

Back to the Drawing Board for Fair Representation Learning.
CoRR, 2024

Exploiting LLM Quantization.
CoRR, 2024

Private Attribute Inference from Images with Vision-Language Models.
CoRR, 2024

Large Language Models are Advanced Anonymizers.
CoRR, 2024

CuTS: Customizable Tabular Synthetic Data Generation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Instruction Tuning for Secure Code Generation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Beyond Memorization: Violating Privacy via Inference with Large Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Programmable Synthetic Tabular Data Generation.
CoRR, 2023

TabLeak: Tabular Data Leakage in Federated Learning.
Proceedings of the International Conference on Machine Learning, 2023

2022
Data Leakage in Tabular Federated Learning.
CoRR, 2022

Reducing neural architecture search spaces with training-free statistics and computational graph clustering.
Proceedings of the CF '22: 19th ACM International Conference on Computing Frontiers, Turin, Italy, May 17, 2022


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