ICLR 2024 Workshop PML Submissions

Balancing Privacy and Performance for Private Federated Learning Algorithms
Xiangjian Hou, Sarit Khirirat, Mohammad Yaqub, Samuel Horváth
- Published: 05 Mar 2024, Last Modified: 04 May 2024
- PML
- Readers: Everyone
Having your Privacy Cake and Eating it Too: Platform-supported Auditing of Social Media Algorithms for Public Interest
ICLR 2024 Workshop PML Submission40 Authors
- Published: 05 Mar 2024, Last Modified: 04 May 2024
- PML
- Readers: Everyone
FairProof : Confidential and Certifiable Fairness for Neural Networks
Chhavi Yadav, Amrita Roy Chowdhury, Dan Boneh, Kamalika Chaudhuri
- Published: 05 Mar 2024, Last Modified: 04 May 2024
- PML
- Readers: Everyone
Subsampling is not Magic: Why Large Batch Sizes Work for Differentially Private Stochastic Optimisation
Ossi Räisä, Joonas Jälkö, Antti Honkela
- Published: 05 Mar 2024, Last Modified: 04 May 2024
- PML
- Readers: Everyone
Personalized Differential Privacy for Ridge Regression
Krishna Acharya, Franziska Boenisch, Rakshit Naidu, Juba Ziani
- Published: 05 Mar 2024, Last Modified: 04 May 2024
- PML
- Readers: Everyone
Efficient Private Federated Non-Convex Optimization With Shuffled Model
Lingxiao Wang, Xingyu Zhou, Kumar Kshitij Patel, Lawrence Tang, Aadirupa Saha
- Published: 05 Mar 2024, Last Modified: 04 May 2024
- PML
- Readers: Everyone
Communication-Efficient Differentially Private Federated Learning Using Second-Order Information
ICLR 2024 Workshop PML Submission32 Authors
- Published: 05 Mar 2024, Last Modified: 05 May 2024
- PML
- Readers: Everyone
Data Forging Is Harder Than You Think
Mohamed Suliman, Swanand Kadhe, Anisa Halimi, Douglas Leith, Nathalie Baracaldo, Ambrish Rawat
- Published: 05 Mar 2024, Last Modified: 04 May 2024
- PML
- Readers: Everyone
Confidential-DPproof : Confidential Proof of Differentially Private Training
Ali Shahin Shamsabadi, Gefei Tan, Tudor Ioan Cebere, Aurélien Bellet, Hamed Haddadi, Nicolas Papernot, Xiao Wang, Adrian Weller
- Published: 05 Mar 2024, Last Modified: 04 May 2024
- PML
- Readers: Everyone
WAVES: Benchmarking the Robustness of Image Watermarks
ICLR 2024 Workshop PML Submission25 Authors
- Published: 05 Mar 2024, Last Modified: 09 May 2024
- PML
- Readers: Everyone
Posterior Probability-based Label Recovery Attack in Federated Learning
Rui Zhang, Song Guo, Ping Li
- Published: 05 Mar 2024, Last Modified: 04 May 2024
- PML
- Readers: Everyone
Differentially Private Latent Diffusion Models
Saiyue Lyu, Michael F Liu, Margarita Vinaroz, Mijung Park
- Published: 05 Mar 2024, Last Modified: 04 May 2024
- PML
- Readers: Everyone
Gradient-Congruity Guided Federated Sparse Training
Chris XING TIAN, Yibing Liu, Haoliang Li, Ray C.C. Cheung, Shiqi Wang
- Published: 05 Mar 2024, Last Modified: 04 May 2024
- PML
- Readers: Everyone
Privacy-preserving data release leveraging optimal transport and particle gradient descent
ICLR 2024 Workshop PML Submission21 Authors
- Published: 05 Mar 2024, Last Modified: 08 May 2024
- PML
- Readers: Everyone
Understanding Practical Membership Privacy of Deep Learning
Marlon Tobaben, Gauri Pradhan, Yuan He, Joonas Jälkö, Antti Honkela
- Published: 05 Mar 2024, Last Modified: 04 May 2024
- PML
- Readers: Everyone
Langevin Unlearning
Eli Chien, Haoyu Peter Wang, Ziang Chen, Pan Li
- Published: 05 Mar 2024, Last Modified: 04 May 2024
- PML
- Readers: Everyone
Linearizing Models for Efficient yet Robust Private Inference
Sreetama Sarkar, Souvik Kundu, Peter Anthony Beerel
- Published: 05 Mar 2024, Last Modified: 04 May 2024
- PML
- Readers: Everyone
Online Experimentation under Privacy Induced Identity Fragmentation
Shiv Shankar, Ritwik Sinha, Madalina Fiterau
- Published: 05 Mar 2024, Last Modified: 04 May 2024
- PML
- Readers: Everyone
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
- Published: 05 Mar 2024, Last Modified: 04 May 2024
- PML
- Readers: Everyone
Differentially Private Best Subset Selection Via Integer Programming
Kayhan Behdin, Peter Prastakos, Rahul Mazumder
- Published: 05 Mar 2024, Last Modified: 04 May 2024
- PML
- Readers: Everyone
Fed Up with Complexity: Simplifying Many-Task Federated Learning with NTKFedAvg
Aashiq Muhamed, Meher Mankikar, Virginia Smith
- Published: 05 Mar 2024, Last Modified: 04 May 2024
- PML
- Readers: Everyone
Cache Me If You Can: The Case For Retrieval Augmentation in Federated Learning
Aashiq Muhamed, Pratiksha Thaker, Mona T. Diab, Virginia Smith
- Published: 05 Mar 2024, Last Modified: 04 May 2024
- PML
- Readers: Everyone
Byzantine Robustness and Partial Participation Can Be Achieved Simultaneously: Just Clip Gradient Differences
Grigory Malinovsky, Eduard Gorbunov, Samuel Horváth, Peter Richtárik
- Published: 05 Mar 2024, Last Modified: 04 May 2024
- PML
- Readers: Everyone
DNA: Differential privacy Neural Augmentation for contact tracing
Rob Romijnders, Christos Louizos, Yuki M Asano, Max Welling
- Published: 05 Mar 2024, Last Modified: 04 May 2024
- PML
- Readers: Everyone
Federated Unlearning: a Perspective of Stability and Fairness
Jiaqi Shao, Tao Lin, Xuanyu Cao, Bing Luo
- Published: 05 Mar 2024, Last Modified: 04 May 2024
- PML
- Readers: Everyone