About me
I am Dimitar I. Dimitrov, a direct doctorate student at the Department of Computer Science, ETH Zürich. I am part of the Secure, Reliable, and Intelligent Systems Lab, supervised by Prof. Martin Vechev.
Education
- ETH Zurich, September 2018 - current Direct doctorate student in Computer Science
- The University of Edinburgh, UK, 2012 – 2016 BEng Computer Science
- University of California, Irvine, USA, 2014 - 2015 Exchange student
- Sofia High School of Mathematics, Sofia, Bulgaria, 2004 – 2012 Bulgaria diploma
Work Experience
| Full-time Software Developer, Arista Networks, Dublin, Republic of Ireland | 2016/09 – 2018/06 |
| Summer Intern, Arista Networks, San Jose, CA, USA | 2015/06 – 2015/09 |
| Teaching Assistant and Web Developer, Avid Academy for Gifted Youth, Irvine, CA, USA | 2014/12 – 2015/06 |
| Lead Android Developer, The City of Edinburgh Council, Edinburgh, UK | 2013/06 – 2014/09 |
Publications
2024
DAGER: Exact Gradient Inversion for Large Language Models
Ivo Petrov, Dimitar I. Dimitrov, Maximilian Baader, Mark Niklas Müller, Martin Vechev
ArXiv
2024
Hiding in Plain Sight: Disguising Data Stealing Attacks in Federated Learning
Kostadin Garov, Dimitar I. Dimitrov, Nikola Jovanović, Martin Vechev
ICLR
2024
SPEAR: Exact Gradient Inversion of Batches in Federated Learning
Dimitar I. Dimitrov, Maximilian Baader, Mark Niklas Müller, Martin Vechev
ArXiv
2024
2023
Group and Attack: Auditing Differential Privacy
Johan Lokna, Anouk Paradis, Dimitar I. Dimitrov, Martin Vechev
ACM CCS
2023
TabLeak: Tabular Data Leakage in Federated Learning
Mark Vero, Mislav Balunović, Dimitar I. Dimitrov, Martin Vechev
ICML
2023
FARE: Provably Fair Representation Learning with Practical Certificates
Nikola Jovanović, Mislav Balunović, Dimitar I. Dimitrov, Martin Vechev
ICML
2023
2022
LAMP: Extracting Text from Gradients with Language Model Priors
Mislav Balunović*, Dimitar I. Dimitrov*, Nikola Jovanović, Martin Vechev
NeurIPS
2022
* Equal contribution
Data Leakage in Federated Averaging
Dimitar I. Dimitrov, Mislav Balunović, Nikola Konstantinov, Martin Vechev
TMLR
2022
Shared Certificates for Neural Network Verification
Marc Fischer*, Christian Sprecher*, Dimitar I. Dimitrov, Gagandeep Singh, Martin Vechev
CAV
2022
* Equal contribution
Provably Robust Adversarial Examples
Dimitar I. Dimitrov, Gagandeep Singh, Timon Gehr, Martin Vechev
ICLR
2022
Bayesian Framework for Gradient Leakage
Mislav Balunović, Dimitar I. Dimitrov, Robin Staab, Martin Vechev
ICLR
2022
2021
Fast and Precise Certification of Transformers
Gregory Bonaert, Dimitar I. Dimitrov, Maximilian Baader, Martin Vechev
PLDI
2021