Mark Vero - RankMe

30 papers A* 11Journal 18Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	AutoBaxBuilder: Bootstrapping Code Security Benchmarking. CoRR Tobias von Arx, Niels Mündler, Mark Vero, Maximilian Baader, Martin T. Vechev
2025	A*	`conf`	BaxBench: Can LLMs Generate Correct and Secure Backends? ICML Mark Vero, Niels Mündler, Victor Chibotaru, Veselin Raychev, Maximilian Baader, Nikola Jovanovic, Jingxuan He, Martin T. Vechev
2025	J	`jnl`	BaxBench: Can LLMs Generate Correct and Secure Backends? CoRR Mark Vero, Niels Mündler, Victor Chibotaru, Veselin Raychev, Maximilian Baader, Nikola Jovanovic, Jingxuan He, Martin T. Vechev
2025	A*	`conf`	Black-Box Adversarial Attacks on LLM-Based Code Completion. ICML Slobodan Jenko, Niels Mündler, Jingxuan He, Mark Vero, Martin T. Vechev
2025	J	`jnl`	Fewer Weights, More Problems: A Practical Attack on LLM Pruning. CoRR Kazuki Egashira, Robin Staab, Thibaud Gloaguen, Mark Vero, Martin T. Vechev
2025	J	`jnl`	Finetuning-Activated Backdoors in LLMs. CoRR Thibaud Gloaguen, Mark Vero, Robin Staab, Martin T. Vechev
2025	A*	`conf`	Language Models are Advanced Anonymizers. ICLR Robin Staab, Mark Vero, Mislav Balunovic, Martin T. Vechev
2025	A*	`conf`	Mind the Gap: A Practical Attack on GGUF Quantization. ICML Kazuki Egashira, Robin Staab, Mark Vero, Jingxuan He, Martin T. Vechev
2025	J	`jnl`	Mind the Gap: A Practical Attack on GGUF Quantization. CoRR Kazuki Egashira, Robin Staab, Mark Vero, Jingxuan He, Martin T. Vechev
2025	J	`jnl`	Pay Attention to the Triggers: Constructing Backdoors That Survive Distillation. CoRR Giovanni De Muri, Mark Vero, Robin Staab, Martin T. Vechev
2024	A*	`conf`	A Synthetic Dataset for Personal Attribute Inference. NeurIPS Hanna Yukhymenko, Robin Staab, Mark Vero, Martin T. Vechev
2024	J	`jnl`	A Synthetic Dataset for Personal Attribute Inference. CoRR Hanna Yukhymenko, Robin Staab, Mark Vero, Martin T. Vechev
2024	J	`jnl`	Back to the Drawing Board for Fair Representation Learning. CoRR Angéline Pouget, Nikola Jovanovic, Mark Vero, Robin Staab, Martin T. Vechev
2024	A*	`conf`	Beyond Memorization: Violating Privacy via Inference with Large Language Models. ICLR Robin Staab, Mark Vero, Mislav Balunovic, Martin T. Vechev
2024	J	`jnl`	COMPL-AI Framework: A Technical Interpretation and LLM Benchmarking Suite for the EU Artificial Intelligence Act. CoRR Philipp Guldimann, Alexander Spiridonov, Robin Staab, Nikola Jovanovic, Mark Vero, Velko Vechev, Anna Gueorguieva, Mislav Balunovic, Nikola Konstantinov, Pavol Bielik, Petar Tsankov, Martin T. Vechev
2024	A*	`conf`	CuTS: Customizable Tabular Synthetic Data Generation. ICML Mark Vero, Mislav Balunovic, Martin T. Vechev
2024	A*	`conf`	Exploiting LLM Quantization. NeurIPS Kazuki Egashira, Mark Vero, Robin Staab, Jingxuan He, Martin T. Vechev
2024	J	`jnl`	Exploiting LLM Quantization. CoRR Kazuki Egashira, Mark Vero, Robin Staab, Jingxuan He, Martin T. Vechev
2024	A*	`conf`	Instruction Tuning for Secure Code Generation. ICML Jingxuan He, Mark Vero, Gabriela Krasnopolska, Martin T. Vechev
2024	J	`jnl`	Instruction Tuning for Secure Code Generation. CoRR Jingxuan He, Mark Vero, Gabriela Krasnopolska, Martin T. Vechev
2024	J	`jnl`	Large Language Models are Advanced Anonymizers. CoRR Robin Staab, Mark Vero, Mislav Balunovic, Martin T. Vechev
2024	J	`jnl`	Practical Attacks against Black-box Code Completion Engines. CoRR Slobodan Jenko, Jingxuan He, Niels Mündler, Mark Vero, Martin T. Vechev
2024	A*	`conf`	Private Attribute Inference from Images with Vision-Language Models. NeurIPS Batuhan Tömekçe, Mark Vero, Robin Staab, Martin T. Vechev
2024	J	`jnl`	Private Attribute Inference from Images with Vision-Language Models. CoRR Batuhan Tömekçe, Mark Vero, Robin Staab, Martin T. Vechev
2023	J	`jnl`	Beyond Memorization: Violating Privacy Via Inference with Large Language Models. CoRR Robin Staab, Mark Vero, Mislav Balunovic, Martin T. Vechev
2023	J	`jnl`	Programmable Synthetic Tabular Data Generation. CoRR Mark Vero, Mislav Balunovic, Martin T. Vechev
2023	A*	`conf`	TabLeak: Tabular Data Leakage in Federated Learning. ICML Mark Vero, Mislav Balunovic, Dimitar Iliev Dimitrov, Martin T. Vechev
2022	J	`jnl`	Data Leakage in Tabular Federated Learning. CoRR Mark Vero, Mislav Balunovic, Dimitar I. Dimitrov, Martin T. Vechev
2022	J	`jnl`	Reducing Neural Architecture Search Spaces with Training-Free Statistics and Computational Graph Clustering. CoRR Thorir Mar Ingolfsson, Mark Vero, Xiaying Wang, Lorenzo Lamberti, Luca Benini, Matteo Spallanzani
2022	—	`conf`	Reducing neural architecture search spaces with training-free statistics and computational graph clustering. CF Thorir Mar Ingolfsson, Mark Vero, Xiaying Wang, Lorenzo Lamberti, Luca Benini, Matteo Spallanzani