Giulia Fanti
Orcid: 0000-0002-7671-2624Affiliations:
- Carnegie Mellon University, Computer Science Department, Pittsburgh, PA, USA
- University of California, Berkeley, Electrical Engineering and Computer Sciences, CA, USA (PhD)
According to our database1,
Giulia Fanti
authored at least 74 papers
between 2012 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on ece.cmu.edu
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on twitter.com
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on orcid.org
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on github.com
On csauthors.net:
Bibliography
2024
CoRR, 2024
Instance-optimal Clipping for Summation Problems in the Shuffle Model of Differential Privacy.
CoRR, 2024
On the Convergence of Differentially-Private Fine-tuning: To Linearly Probe or to Fully Fine-tune?
CoRR, 2024
CoRR, 2024
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
2023
Proc. ACM Meas. Anal. Comput. Syst., December, 2023
Batching of Tasks by Users of Pseudonymous Forums: Anonymity Compromise and Protection.
Proc. ACM Meas. Anal. Comput. Syst., March, 2023
Trans. Mach. Learn. Res., 2023
Proc. ACM Meas. Anal. Comput. Syst., 2023
IACR Cryptol. ePrint Arch., 2023
User Experiences with Third-Party SIM Cards and ID Registration in Kenya and Tanzania.
CoRR, 2023
CoRR, 2023
CoRR, 2023
Raft-Forensics: High Performance CFT Consensus with Accountability for Byzantine Faults.
CoRR, 2023
CoRR, 2023
Proceedings of the 32nd USENIX Security Symposium, 2023
2022
SIGMETRICS Perform. Evaluation Rev., 2022
CoRR, 2022
Enabling AI Innovation via Data and Model Sharing: An Overview of the Nsf Convergence Accelerator Track D.
AI Mag., 2022
Proceedings of the 43rd IEEE Symposium on Security and Privacy, 2022
Proceedings of the SIGCOMM '22: ACM SIGCOMM 2022 Conference, Amsterdam, The Netherlands, August 22, 2022
FedChain: Chained Algorithms for Near-optimal Communication Cost in Federated Learning.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Perform. Evaluation, 2021
Reducing the Communication Cost of Federated Learning through Multistage Optimization.
CoRR, 2021
Proceedings of the 42nd IEEE Symposium on Security and Privacy, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
SquirRL: Automating Attack Analysis on Blockchain Incentive Mechanisms with Deep Reinforcement Learning.
Proceedings of the 28th Annual Network and Distributed System Security Symposium, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
Abusive Language Detection in Heterogeneous Contexts: Dataset Collection and the Role of Supervised Attention.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Proc. ACM Meas. Anal. Comput. Syst., 2020
Proc. Natl. Acad. Sci. USA, 2020
IEEE J. Sel. Areas Inf. Theory, 2020
Proceedings of the 17th USENIX Symposium on Networked Systems Design and Implementation, 2020
Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions.
Proceedings of the IMC '20: ACM Internet Measurement Conference, 2020
InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs.
Proceedings of the 37th International Conference on Machine Learning, 2020
2019
SquirRL: Automating Attack Discovery on Blockchain Incentive Mechanisms with Deep Reinforcement Learning.
CoRR, 2019
CoRR, 2019
InfoGAN-CR: Disentangling Generative Adversarial Networks with Contrastive Regularizers.
CoRR, 2019
Proceedings of the Twentieth ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2019
Proceedings of the 18th ACM Workshop on Hot Topics in Networks, 2019
Proceedings of the Financial Cryptography and Data Security, 2019
Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, 2019
2018
Proc. ACM Meas. Anal. Comput. Syst., 2018
IACR Cryptol. ePrint Arch., 2018
Proceedings of the 17th ACM Workshop on Hot Topics in Networks, 2018
2017
Proc. ACM Meas. Anal. Comput. Syst., 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
2016
IEEE Trans. Signal Inf. Process. over Networks, 2016
Building a RAPPOR with the Unknown: Privacy-Preserving Learning of Associations and Data Dictionaries.
Proc. Priv. Enhancing Technol., 2016
Proceedings of the 2016 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Science, 2016
Proceedings of the 2016 Annual Conference on Information Science and Systems, 2016
2015
Spline-Like Wavelet Filterbanks for Multiresolution Analysis of Graph-Structured Data.
IEEE Trans. Signal Inf. Process. over Networks, 2015
IEEE J. Sel. Top. Signal Process., 2015
Proceedings of the 2015 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2015
2014
Proceedings of the International Conference on Multimedia Retrieval, 2014
Proceedings of the 52nd Annual Allerton Conference on Communication, 2014
2013
IEEE Signal Process. Mag., 2013
Building Dissent Networks: Towards Effective Countermeasures against Large-Scale Communications Blackouts.
Proceedings of the 3rd USENIX Workshop on Free and Open Communications on the Internet, 2013
Proceedings of the IEEE International Conference on Image Processing, 2013
Critically-sampled perfect-reconstruction spline-wavelet filterbanks for graph signals.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013
2012