Mislav Balunovic

Orcid: 0000-0002-7024-7688

According to our database1, Mislav Balunovic authored at least 26 papers between 2018 and 2024.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Large Language Models are Advanced Anonymizers.
CoRR, 2024

2023
From Principle to Practice: Vertical Data Minimization for Machine Learning.
CoRR, 2023

Beyond Memorization: Violating Privacy Via Inference with Large Language Models.
CoRR, 2023

Programmable Synthetic Tabular Data Generation.
CoRR, 2023

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

FARE: Provably Fair Representation Learning with Practical Certificates.
Proceedings of the International Conference on Machine Learning, 2023

2022
On the Paradox of Certified Training.
Trans. Mach. Learn. Res., 2022

Data Leakage in Federated Averaging.
Trans. Mach. Learn. Res., 2022

FARE: Provably Fair Representation Learning.
CoRR, 2022

Data Leakage in Tabular Federated Learning.
CoRR, 2022

LAMP: Extracting Text from Gradients with Language Model Priors.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Fair Normalizing Flows.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Bayesian Framework for Gradient Leakage.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Latent Space Smoothing for Individually Fair Representations.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Certified Defenses: Why Tighter Relaxations May Hurt Training?
CoRR, 2021

Certify or Predict: Boosting Certified Robustness with Compositional Architectures.
Proceedings of the 9th International Conference on Learning Representations, 2021

Robustness Certification for Point Cloud Models.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Scalable Polyhedral Verification of Recurrent Neural Networks.
Proceedings of the Computer Aided Verification - 33rd International Conference, 2021

Efficient Certification of Spatial Robustness.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Fast and Effective Robustness Certification for Recurrent Neural Networks.
CoRR, 2020

Learning Certified Individually Fair Representations.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Adversarial Training and Provable Defenses: Bridging the Gap.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Certifying Geometric Robustness of Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

DL2: Training and Querying Neural Networks with Logic.
Proceedings of the 36th International Conference on Machine Learning, 2019

Learning to Fuzz from Symbolic Execution with Application to Smart Contracts.
Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, 2019

2018
Learning to Solve SMT Formulas.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018


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