Giulia Fanti

Orcid: 0000-0002-7671-2624

Affiliations:
  • 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 76 papers between 2012 and 2024.

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Bibliography

2024
POMACS V8, N2, June 2024 Editorial.
Proc. ACM Meas. Anal. Comput. Syst., 2024

POMACS V8, N1, March 2024 Editorial.
Proc. ACM Meas. Anal. Comput. Syst., 2024

Summary Statistic Privacy in Data Sharing.
IEEE J. Sel. Areas Inf. Theory, 2024

Improving the Training of Rectified Flows.
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

Benchmarking Private Population Data Release Mechanisms: Synthetic Data vs. TopDown.
CoRR, 2024

The Role of User-Agent Interactions on Mobile Money Practices in Kenya and Tanzania.
Proceedings of the IEEE Symposium on Security and Privacy, 2024

Privacy Requirements and Realities of Digital Public Goods.
Proceedings of the Twentieth Symposium on Usable Privacy and Security, 2024

Statistic Maximal Leakage.
Proceedings of the IEEE International Symposium on Information Theory, 2024

PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Mixture-of-Linear-Experts for Long-term Time Series Forecasting.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

CFT-Forensics: High-Performance Byzantine Accountability for Crash Fault Tolerant Protocols.
Proceedings of the 6th Conference on Advances in Financial Technologies, 2024

2023
POMACS V7, N3, December 2023 Editorial.
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

Towards a Defense Against Federated Backdoor Attacks Under Continuous Training.
Trans. Mach. Learn. Res., 2023

Strategic Latency Reduction in Blockchain Peer-to-Peer Networks.
Proc. ACM Meas. Anal. Comput. Syst., 2023

Proof of Compliance for Anonymous, Unlinkable Messages.
IACR Cryptol. ePrint Arch., 2023

User Experiences with Third-Party SIM Cards and ID Registration in Kenya and Tanzania.
CoRR, 2023

Pretrained deep models outperform GBDTs in Learning-To-Rank under label scarcity.
CoRR, 2023

Raft-Forensics: High Performance CFT Consensus with Accountability for Byzantine Faults.
CoRR, 2023

Privately Customizing Prefinetuning to Better Match User Data in Federated Learning.
CoRR, 2023

Distance-Aware Private Set Intersection.
Proceedings of the 32nd USENIX Security Symposium, 2023

2022
ACM SIGMETRICS 2021 Student Research Competition.
SIGMETRICS Perform. Evaluation Rev., 2022

Towards a Defense against Backdoor Attacks in Continual Federated Learning.
CoRR, 2022

Enabling AI Innovation via Data and Model Sharing: An Overview of the Nsf Convergence Accelerator Track D.
AI Mag., 2022

Locally Differentially Private Sparse Vector Aggregation.
Proceedings of the 43rd IEEE Symposium on Security and Privacy, 2022

Practical GAN-based synthetic IP header trace generation using NetShare.
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

RareGAN: Generating Samples for Rare Classes.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
The effect of network topology on credit network throughput.
Perform. Evaluation, 2021

Reducing the Communication Cost of Federated Learning through Multistage Optimization.
CoRR, 2021

Efficient Algorithms for Federated Saddle Point Optimization.
CoRR, 2021

Self-Supervised Euphemism Detection and Identification for Content Moderation.
Proceedings of the 42nd IEEE Symposium on Security and Privacy, 2021

Why Spectral Normalization Stabilizes GANs: Analysis and Improvements.
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

On the Privacy Properties of GAN-generated Samples.
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
Privacy-Utility Tradeoffs in Routing Cryptocurrency over Payment Channel Networks.
Proc. ACM Meas. Anal. Comput. Syst., 2020

Communication cost of consensus for nodes with limited memory.
Proc. Natl. Acad. Sci. USA, 2020

PacGAN: The Power of Two Samples in Generative Adversarial Networks.
IEEE J. Sel. Areas Inf. Theory, 2020

High Throughput Cryptocurrency Routing in Payment Channel Networks.
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

Generating High-fidelity, Synthetic Time Series Datasets with DoppelGANger.
CoRR, 2019

Prism: Scaling Bitcoin by 10, 000x.
CoRR, 2019

InfoGAN-CR: Disentangling Generative Adversarial Networks with Contrastive Regularizers.
CoRR, 2019

Barracuda: The Power of ℓ-polling in Proof-of-Stake Blockchains.
Proceedings of the Twentieth ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2019

Towards Oblivious Network Analysis using Generative Adversarial Networks.
Proceedings of the 18th ACM Workshop on Hot Topics in Networks, 2019

Compounding of Wealth in Proof-of-Stake Cryptocurrencies.
Proceedings of the Financial Cryptography and Data Security, 2019

Prism: Deconstructing the Blockchain to Approach Physical Limits.
Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, 2019

2018
Dandelion++: Lightweight Cryptocurrency Networking with Formal Anonymity Guarantees.
Proc. ACM Meas. Anal. Comput. Syst., 2018

Deconstructing the Blockchain to Approach Physical Limits.
IACR Cryptol. ePrint Arch., 2018

Routing Cryptocurrency with the Spider Network.
Proceedings of the 17th ACM Workshop on Hot Topics in Networks, 2018

2017
Hiding the Rumor Source.
IEEE Trans. Inf. Theory, 2017

Dandelion: Redesigning the Bitcoin Network for Anonymity.
Proc. ACM Meas. Anal. Comput. Syst., 2017

Anonymity Properties of the Bitcoin P2P Network.
CoRR, 2017

Deanonymization in the Bitcoin P2P Network.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016
Metadata-Conscious Anonymous Messaging.
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

Rangzen: Anonymously Getting the Word Out in a Blackout.
CoRR, 2016

Rumor Source Obfuscation on Irregular Trees.
Proceedings of the 2016 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Science, 2016

Algorithmic advances in anonymous communication over networks.
Proceedings of the 2016 Annual Conference on Information Science and Systems, 2016

2015
Privacy-preserving Messaging and Search: A Collaborative Approach.
PhD thesis, 2015

Spline-Like Wavelet Filterbanks for Multiresolution Analysis of Graph-Structured Data.
IEEE Trans. Signal Inf. Process. over Networks, 2015

Efficient Private Information Retrieval Over Unsynchronized Databases.
IEEE J. Sel. Top. Signal Process., 2015

Spy vs. Spy: Rumor Source Obfuscation.
Proceedings of the 2015 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2015

2014
Toward efficient, privacy-aware media classification on public databases.
Proceedings of the International Conference on Multimedia Retrieval, 2014

Multi-server private information retrieval over unsynchronized databases.
Proceedings of the 52nd Annual Allerton Conference on Communication, 2014

2013
One-Way Private Media Search on Public Databases: The Role of Signal Processing.
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

Circulant structures and graph signal processing.
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

Wavelet-regularized graph semi-supervised learning.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

2012
Semi-Definite Programming Relaxation for Non-Line-of-Sight Localization
CoRR, 2012


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