Dimitar I. Dimitrov

20 papers A* 5Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	GRAIN: Exact Graph Reconstruction from Gradients. CoRR Maria Drencheva, Ivo Petrov, Maximilian Baader, Dimitar I. Dimitrov, Martin T. Vechev
2025	J	`jnl`	MixAT: Combining Continuous and Discrete Adversarial Training for LLMs. CoRR Csaba Dékány, Stefan Balauca, Robin Staab, Dimitar I. Dimitrov, Martin T. Vechev
2025	J	`jnl`	SPEAR++: Scaling Gradient Inversion via Sparsely-Used Dictionary Learning. CoRR Alexander B. Bordetsky, Dimitar I. Dimitrov, Maximilian Baader, Martin T. Vechev
2024	J	`jnl`	BgGPT 1.0: Extending English-centric LLMs to other languages. CoRR Anton Alexandrov, Veselin Raychev, Dimitar I. Dimitrov, Ce Zhang, Martin T. Vechev, Kristina Toutanova
2024	A*	`conf`	DAGER: Exact Gradient Inversion for Large Language Models. NeurIPS Ivo Petrov, Dimitar I. Dimitrov, Maximilian Baader, Mark Niklas Müller, Martin T. Vechev
2024	J	`jnl`	DAGER: Exact Gradient Inversion for Large Language Models. CoRR Ivo Petrov, Dimitar I. Dimitrov, Maximilian Baader, Mark Niklas Müller, Martin T. Vechev
2024	A*	`conf`	SPEAR: Exact Gradient Inversion of Batches in Federated Learning. NeurIPS Dimitar I. Dimitrov, Maximilian Baader, Mark Niklas Müller, Martin T. Vechev
2024	J	`jnl`	SPEAR: Exact Gradient Inversion of Batches in Federated Learning. CoRR Dimitar I. Dimitrov, Maximilian Baader, Mark Niklas Müller, Martin T. Vechev
2023	A*	`conf`	Group and Attack: Auditing Differential Privacy. CCS Johan Lokna, Anouk Paradis, Dimitar I. Dimitrov, Martin T. Vechev
2023	J	`jnl`	Hiding in Plain Sight: Disguising Data Stealing Attacks in Federated Learning. CoRR Kostadin Garov, Dimitar I. Dimitrov, Nikola Jovanovic, Martin T. Vechev
2022	J	`jnl`	Data Leakage in Federated Averaging. CoRR Dimitar I. Dimitrov, Mislav Balunovic, Nikola Konstantinov, 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`	FARE: Provably Fair Representation Learning. CoRR Nikola Jovanovic, Mislav Balunovic, Dimitar I. Dimitrov, Martin T. Vechev
2022	A*	`conf`	LAMP: Extracting Text from Gradients with Language Model Priors. NeurIPS Mislav Balunovic, Dimitar I. Dimitrov, Nikola Jovanovic, Martin T. Vechev
2022	J	`jnl`	LAMP: Extracting Text from Gradients with Language Model Priors. CoRR Dimitar I. Dimitrov, Mislav Balunovic, Nikola Jovanovic, Martin T. Vechev
2022	—	`conf`	Shared Certificates for Neural Network Verification. CAV (1) Marc Fischer, Christian Sprecher, Dimitar I. Dimitrov, Gagandeep Singh, Martin T. Vechev
2021	J	`jnl`	Bayesian Framework for Gradient Leakage. CoRR Mislav Balunovic, Dimitar I. Dimitrov, Robin Staab, Martin T. Vechev
2021	A*	`conf`	Fast and precise certification of transformers. PLDI Gregory Bonaert, Dimitar I. Dimitrov, Maximilian Baader, Martin T. Vechev
2021	J	`jnl`	Shared Certificates for Neural Network Verification. CoRR Christian Sprecher, Marc Fischer, Dimitar I. Dimitrov, Gagandeep Singh, Martin T. Vechev
2020	J	`jnl`	Scalable Inference of Symbolic Adversarial Examples. CoRR Dimitar I. Dimitrov, Gagandeep Singh, Timon Gehr, Martin T. Vechev