Publications
2024
- Improving the Training of Rectified Flows
S. Lee, Z. Lin, G. Fanti
[NeurIPS 2024] - Data distribution valuation
X. Xu, S. Wang, C. S. Foo, B.K.H. Low, G. Fanti
[NeurIPS 2024] - PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs
C. Hou, A. Shrivastava, H. Zhan, R. Conway, T. Le, A. Sagar, G. Fanti, D. Lazar
(Oral Presentation @ ICML 2024)
(Honorable Mention, Best Paper Award, PML Workshop @ ICLR 2024)
[ICML 2024] [code] - Pretrained deep models outperform GBDTs in Learning-To-Rank under label scarcity
C. Hou, K. K. Thekumparampil, M. Shavlovsky, G. Fanti, Y. Dattatreya, S. Sanghavi
[TMLR, ICML MFPL Workshop 2023 (Oral)] - Game Theoretic Liquidity Provisioning in Concentrated Liquidity Market Makers
W. Tang, R. El-Azouzi, C.H. Lee, E. Chan, G. Fanti
[arXiv] - Benchmarking Fraud Detectors on Private Graph Data
A. Goldberg, G. Fanti, N. Shah, S. Wu
[KDD 2025] - Privacy Requirements and Realities of Digital Public Goods
G. Gopi, A. Maddi, O. Arasaratnam, G. Fanti
(Most Notable Paper: Social Impact Category @ CSAW Applied Research Competition 2024)
[SOUPS 2024] - On the Convergence of Differentially-Private Fine-tuning: To Linearly Probe or to Fully Fine-tune?
S. Ke, C. Hou, S. Oh, G. Fanti
[arXiv 2024] - Instance-optimal Clipping for Summation Problems in the Shuffle Model of Differential Privacy
W. Dong, Q. Liu, G. Fanti, E. Shi, K. Yi
[CCS 2024] - CONAN: Distributed Proofs of Compliance for Anonymous Data Collection
M. Zhou, G. Fanti, E. Shi
[CCS 2024] - Raft-Forensics: High Performance CFT Consensus with Accountability for Byzantine Faults
W. Tang, P. Sheng, P. Roy, X. Wang, G. Fanti, and P. Viswanath
[AFT 2024] [Implementation] [Simulation code] - Statistic Maximal Leakage
S. Wang, Z. Lin, G. Fanti
[ISIT 2024] - Summary Statistic Privacy in Data Sharing
Z. Lin*, S. Wang*, V. Sekar, and G. Fanti
[JSAIT, Special Issue on Trustworthy ML] [code] *Equal contribution - Mixture-of-Linear-Experts for Long-term Time Series Forecasting
R. Ni, Z. Lin, S. Wang, G. Fanti
[AISTATS 2024] - Benchmarking Private Population Data Release Mechanisms: Synthetic Data vs. TopDown
A. Maddi, S. Routray, A. Goldberg, G. Fanti
[PPAI Workshop @ AAAI 2024] - The Role of User-Agent Interactions on Mobile Money Practices in Kenya and Tanzania
K. Sowon, E. Luhanga, L. Cranor, G. Fanti, C. Tucker, A. Gueye
[IEEE S&P 2024]
2023
- Gen-T: Reduce Distributed Tracing Operational Costs Using Generative Models
S. Tochner, G. Fanti, V. Sekar
[Temporal Graph Learning Workshop @ NeurIPS 2023] - User Experiences with Third-Party SIM Cards and ID Registration in Kenya and Tanzania
E. Luhanga, K. Sowon, L. Cranor, G. Fanti, C. Tucker, A. Gueye
[arxiv] - Towards a Defense against Backdoor Attacks in Continual Federated Learning
S. Wang, J. Hayase, G. Fanti, and S. Oh
[TMLR] [code] - Batching of Tasks by Users of Pseudonymous Forums: Anonymity Compromise and Protection
A. Goldberg, G. Fanti, N.B. Shah
[SIGMETRICS 2023] - Strategic Latency Reduction in Blockchain Peer-to-Peer Networks
W. Tang, L. Kiffer, G. Fanti, and A. Juels
[SIGMETRICS 2023] [geth client code] [simulation code]
2022
- Privacy in cross-border digital currency: A transatlantic approach
G. Fanti, N. Pocher
[Atlantic Council White paper] - Missing Key: The challenge of cybersecurity and central bank digital currency
G. Fanti, K. Kostiainen, W. Howlett, J. Lipsky, O. Moehr, J.P. Schnapper-Casteras, and J. Wolff
[Atlantic Council White paper] - Distance-Aware Private Set Intersection
Chakraborti, Anrin, Giulia Fanti, and Michael K. Reiter
[USENIX Security 2022] - Practical GAN-based Synthetic IP Header Trace Generation using NetShare
Y. Yin, Z. Lin, M. Jin, G. Fanti, and V. Sekar
[SIGCOMM 2022] [code] - FedChain: Chained Algorithms for Near-optimal Communication Cost in Federated Learning
C. Hou, K. K. Thekumparampil, G. Fanti, S. Oh
(Presented at the FL-ICML 2021 Workshop, Oral)
[ICLR 2022] - RareGAN: Generating Samples for Rare Classes
Z. Lin, G. Fanti, V. Sekar
[AAAI 2022] [code] - Locally Differentially Private Sparse Vector Aggregation
M. Zhou, T. Wang, H. Chan, G. Fanti, E. Shi
[IEEE S&P 2022] [code] - Efficient Algorithms for Federated Saddle Point Optimization
C. Hou, K. K. Thekumparampil, G. Fanti, S. Oh
[arxiv]
2021
- Why Spectral Normalization Stabilizes GANs: Analysis and Improvements
Z. Lin, V. Sekar, G. Fanti
[NeurIPS 2021] [code] - The Effect of Network Topology on Credit Network Throughput
V. Sivaraman, W. Tang, S. B. Venkatakrishnan, G. Fanti, M. Alizadeh
[IFIP Performance 2021] - On the Privacy Properties of GAN-generated samples
Z. Lin, V. Sekar, G. Fanti
[AISTATS 2021] - Self-supervised euphemism detection and identification for content moderation
W. Zhu, H. Gong, R.Bansal, Z. Weinberg, N. Christin, G. Fanti, S. Bhat
[IEEE S&P 2021] [code] - SquirRL: Automating Attack Discovery on Blockchain Incentive Mechanisms with Deep Reinforcement Learning
C. Hou*, M.Zhou*, Y. Ji, P. Daian, F. Tramer, G. Fanti, A. Juels
[NDSS 2021] [code] *Equal contribution - Abusive Language Detection in Heterogeneous Contexts: Dataset Collection and the Role of Supervised Attention
H. Gong, A. Valido, K. Ingraham, G. Fanti, D. Espelage, S. Bhat
[AAAI 2021] [code] [dataset]
2020
- Communication cost of consensus for nodes with limited memory
G. Fanti, N. Holden, Y. Peres, G. Ranade
[PNAS] [arXiv] [code] - Generating High-fidelity, Synthetic Time Series Datasets with DoppelGANger
Z. Lin, A. Jain, C. Wang, G. Fanti, V. Sekar
(Best Paper Award Finalist, ACM IMC)
[IMC 2020] [code] - Routing cryptocurrency with the spider network
V. Sivaraman, S. Bojja Venkatakrishnan, K. Ruan, P. Negi, L. Yang, R. Mittal, G. Fanti, M. Alizadeh
[NSDI 2020] [code] - Privacy-Utility Tradeoffs in Routing Cryptocurrency over Payment Channel Networks
W. Tang, W. Wang, G. Fanti, S. Oh
[Sigmetrics 2020] - InfoGAN-CR: Disentangling Generative Adversarial Networks with Contrastive Regularizers
Z. Lin, K. Thekumparampil, G. Fanti, S. Oh
[ICML 2020] [code] - Design choices for central bank digital currency: Policy and technical considerations
S. Allen, S. Capkun, I. Eyal, G. Fanti, B. Ford, J. Grimmelmann, A. Juels, K. Kostiainen, S. Meiklejohn, A. Miller, E. Prasad, K. Wüst, and F. Zhang
[Brookings Report]
2019
- Scaling Bitcoin by 10,000 x
L. Yang, V. Bagaria, G. Wang, M. Alizadeh, D. Tse, G. Fanti, P. Viswanath
[arXiv] [code] - Prism: Deconstructing the Blockchain to Approach Physical Limits
V. Bagaria, S. Kannan, D. Tse, G. Fanti, P. Viswanath
[ACM CCS 2019] - Barracuda: The Power of l-Polling in Proof-of-Stake Blockchains
(Best Paper Award, ACM MobiHoc)
G. Fanti, J. Jiao, A. Makkuva, S. Oh, R. Rana, P. Viswanath
[ACM MobiHoc 2019] - Compounding of Wealth in Proof-of-Stake Cryptocurrencies
G. Fanti, L. Kogan, S. Oh, K. Ruan, P. Viswanath, G. Wang
[Financial Crypto 2019] - Towards Oblivious Network Analysis using Generative Adversarial Networks
Z. Lin, S. Moon, C. Zarate, R. Mulagalapalli, S. Kulandaivel, G. Fanti, V. Sekar
[HotNets 2019]
2018
- Routing Cryptocurrency in the Spider Network
V. Sivaraman, S. B. Venkatakrishnan, M. Alizadeh G. Fanti, P. Viswanath
[HotNets 2018] - PacGAN: The Power of Two Samples in Generative Adversarial Networks
Z. Lin, A. Khetan, G. Fanti, S. Oh
[NeurIPS 2018] [Code] - Dandelion++: Lightweight Cryptocurrency Networking with Formal Anonymity Guarantees
G. Fanti, S. B. Venkatakrishnan, S. Bakshi, B. Denby, S. Bhargava, A. Miller, P. Viswanath
[Sigmetrics 2018] [Simulation code] [Bitcoin Core reference implementation] [Bitcoin Magazine]
2017
- Dandelion: Redesigning the Bitcoin Network for Anonymity
S. B. Venkatakrishnan, G. Fanti, P. Viswanath
[Sigmetrics 2017] [Code] [BTC Manager] [CyberScoop] - Anonymity Properties of the Bitcoin P2P Network
G. Fanti, P. Viswanath
[NeurIPS 2017] [Code] - Hiding the Rumor Source
G. Fanti, P. Kairouz, S. Oh, K. Ramchandran, P. Viswanath
[IEEE Transactions on Information Theory] [arXiv] [code]
2016
- Rumor Source Obfuscation on Irregular Trees
G. Fanti, P. Kairouz, S. Oh, K. Ramchandran, P. Viswanath
[Sigmetrics 2016] [code] [slides] - Building a RAPPOR with the Unknown: Privacy-Preserving Learning of Associations and Data Dictionaries
G. Fanti, V. Pihur, U. Erlingsson
[PETS 2016] [code] - Metadata-conscious anonymous messaging
G. Fanti, P. Kairouz, S. Oh, K. Ramchandran, P. Viswanath
[ICML 2016] [IEEE TSIPN 2016] [code] - Algorithmic Advances in Anonymous Communication over Networks
G. Fanti, P. Viswanath
[CISS 2016]
2015
- Spy vs. Spy: Rumor Source Obfuscation
(Best Paper Award, ACM Sigmetrics).
G. Fanti, P. Kairouz, S. Oh, P. Viswanath
[Sigmetrics 2015] [arXiv] [code] - Efficient, Multi-Server Private Information Retrieval over Unsynchronized Databases
G. Fanti, K. Ramchandran
[IEEE JSTSP 2015] [Allerton 2014] [code] - Spline-Like Wavelet Filterbanks for Multiresolution Analysis of Graph-Structured Data
V. Ekambaram, G. Fanti, B. Ayazifar, and K. Ramchandran
[IEEE TSIPN 2015]
2014
Toward efficient, privacy-aware media classification on public databases
G. Fanti, M. Finiasz, G. Friedland, and K. Ramchandran
[ICMR 2014] [thesis]Rangzen: Circumventing Government-Imposed Communication Blackouts
A. Lerner, G. Fanti, J. Garcia, Y. Ben-David, B. Raghavan
[Tech Report, 2014] [Berkeley Engineer] [SF Chronicle]
2013
- Multiresolution graph signal processing via circulant structures
V. Ekambaram, G. Fanti, B. Ayazifar, and K. Ramchandran
[DSP/SPE 2013] - Critically-sampled perfect-reconstruction spline-wavelet filter banks for graph signals
V. Ekambaram, G. Fanti, B. Ayazifar, and K. Ramchandran
[GLOBESIP 2013] - Circulant structures and graph signal processing
V. Ekambaram, G. Fanti, B. Ayazifar, and K. Ramchandran
[ICIP 2013]
2010
- Wireless power transfer using weakly coupled magnetostatic resonators
J.O. Mur-Miranda, G. Fanti, Y. Feng, K. Omanakuttan, R. Ongie, A. Setjoadi, and N. Sharpe
[ECCE 2010] - Peak wireless power transfer using magnetically coupled series resonators
J.O. Mur-Miranda and G. Fanti
[EnergyCon 2010]