Fanti, Giulia

30 publications

NeurIPS 2025 A Principled Approach to Randomized Selection Under Uncertainty: Applications to Peer Review and Grant Funding Alexander Koujianos Goldberg, Giulia Fanti, Nihar B Shah

TMLR 2025 Characterizing the Training Dynamics of Private Fine-Tuning with Langevin Diffusion Shuqi Ke, Charlie Hou, Sewoong Oh, Giulia Fanti

ICLR 2025 Pacmann: Efficient Private Approximate Nearest Neighbor Search Mingxun Zhou, Elaine Shi, Giulia Fanti

NeurIPS 2025 Private Evolution Converges Tomás González, Giulia Fanti, Aaditya Ramdas

ICML 2025 Private Federated Learning Using Preference-Optimized Synthetic Data Charlie Hou, Mei-Yu Wang, Yige Zhu, Daniel Lazar, Giulia Fanti

ICLRW 2025 Private Federated Learning Using Preference-Optimized Synthetic Data Charlie Hou, Mei-Yu Wang, Yige Zhu, Daniel Lazar, Giulia Fanti

NeurIPS 2025 Struct-Bench: A Benchmark for Differentially Private Structured Text Generation Shuaiqi Wang, Vikas Raunak, Arturs Backurs, Victor Reis, Pei Zhou, Sihao Chen, Longqi Yang, Zinan Lin, Sergey Yekhanin, Giulia Fanti

ICLR 2025 Truncated Consistency Models Sangyun Lee, Yilun Xu, Tomas Geffner, Giulia Fanti, Karsten Kreis, Arash Vahdat, Weili Nie

NeurIPSW 2024 Characterizing the Training Dynamics of Private Fine-Tuning with Langevin Diffusion Shuqi Ke, Charlie Hou, Sewoong Oh, Giulia Fanti

NeurIPS 2024 Data Distribution Valuation Xinyi Xu, Shuaiqi Wang, Chuan-Sheng Foo, Bryan Kian Hsiang Low, Giulia Fanti

NeurIPS 2024 Improving the Training of Rectified Flows Sangyun Lee, Zinan Lin, Giulia Fanti

AISTATS 2024 Mixture-of-Linear-Experts for Long-Term Time Series Forecasting Ronghao Ni, Zinan Lin, Shuaiqi Wang, Giulia Fanti

ICML 2024 PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs Charlie Hou, Akshat Shrivastava, Hongyuan Zhan, Rylan Conway, Trang Le, Adithya Sagar, Giulia Fanti, Daniel Lazar

ICLRW 2024 PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs Charlie Hou, Akshat Shrivastava, Hongyuan Zhan, Rylan Conway, Trang Le, Adithya Sagar, Giulia Fanti, Daniel Lazar

TMLR 2024 Pretrained Deep Models Outperform GBDTs in Learning-to-Rank Under Label Scarcity Charlie Hou, Kiran Koshy Thekumparampil, Michael Shavlovsky, Giulia Fanti, Yesh Dattatreya, Sujay Sanghavi

ICMLW 2024 Pretrained Deep Models Outperform GBDTs in Learning-to-Rank Under Label Scarcity Charlie Hou, Kiran Koshy Thekumparampil, Michael Shavlovsky, Giulia Fanti, Sujay Sanghavi

NeurIPSW 2023 Gen-T: Reduce Distributed Tracing Operational Costs Using Generative Models Saar Tochner, Giulia Fanti, Vyas Sekar

ICMLW 2023 Pretrained Deep Models Outperform GBDTs in Learning-to-Rank Under Label Scarcity Charlie Hou, Kiran Koshy Thekumparampil, Michael Shavlovsky, Giulia Fanti, Yesh Dattatreya, Sujay Sanghavi

ICLRW 2023 Privately Customizing Prefinetuning to Better Match User Data in Federated Learning Charlie Hou, Hongyuan Zhan, Akshat Shrivastava, Sid Wang, Aleksandr Livshits, Giulia Fanti, Daniel Lazar

TMLR 2023 Towards a Defense Against Federated Backdoor Attacks Under Continuous Training Shuaiqi Wang, Jonathan Hayase, Giulia Fanti, Sewoong Oh

NeurIPSW 2022 Distributional Privacy for Data Sharing Zinan Lin, Shuaiqi Wang, Vyas Sekar, Giulia Fanti

ICLR 2022 FedChain: Chained Algorithms for Near-Optimal Communication Cost in Federated Learning Charlie Hou, Kiran Koshy Thekumparampil, Giulia Fanti, Sewoong Oh

AAAI 2022 RareGAN: Generating Samples for Rare Classes Zinan Lin, Hao Liang, Giulia Fanti, Vyas Sekar

AISTATS 2021 On the Privacy Properties of GAN-Generated Samples Zinan Lin, Vyas Sekar, Giulia Fanti

AAAI 2021 Abusive Language Detection in Heterogeneous Contexts: Dataset Collection and the Role of Supervised Attention Hongyu Gong, Alberto Valido, Katherine M. Ingram, Giulia Fanti, Suma Bhat, Dorothy L. Espelage

NeurIPS 2021 Why Spectral Normalization Stabilizes GANs: Analysis and Improvements Zinan Lin, Vyas Sekar, Giulia Fanti

ICML 2020 InfoGAN-CR and ModelCentrality: Self-Supervised Model Training and Selection for Disentangling GANs Zinan Lin, Kiran Thekumparampil, Giulia Fanti, Sewoong Oh

NeurIPS 2018 PacGAN: The Power of Two Samples in Generative Adversarial Networks Zinan Lin, Ashish Khetan, Giulia Fanti, Sewoong Oh

NeurIPS 2017 Deanonymization in the Bitcoin P2P Network Giulia Fanti, Pramod Viswanath

ICML 2016 Metadata-Conscious Anonymous Messaging Giulia Fanti, Peter Kairouz, Sewoong Oh, Kannan Ramchandran, Pramod Viswanath