firstbacksecondback
47 Results
|
Poster
|
Wed 8:45 |
Label Robust and Differentially Private Linear Regression: Computational and Statistical Efficiency Xiyang Liu · Prateek Jain · Weihao Kong · Sewoong Oh · Arun Suggala |
|
|
Workshop
|
Differentially Private Synthetic Data via Foundation Model APIs 1: Images Zinan Lin · Sivakanth Gopi · Janardhan Kulkarni · Harsha Nori · Sergey Yekhanin |
||
|
Oral
|
Tue 14:25 |
User-Level Differential Privacy With Few Examples Per User Badih Ghazi · Pritish Kamath · Ravi Kumar · Pasin Manurangsi · Raghu Meka · Chiyuan Zhang |
|
|
Workshop
|
Sat 13:55 |
Federated Learning for Speech Recognition: Revisiting Current Trends Towards Large-Scale ASR Shams Azam · Martin Pelikan · Vitaly Feldman · Kunal Talwar · Jan Silovsky · Tatiana Likhomanenko |
|
|
Poster
|
Thu 8:45 |
Faster Differentially Private Convex Optimization via Second-Order Methods Arun Ganesh · Mahdi Haghifam · Thomas Steinke · Abhradeep Guha Thakurta |
|
|
Poster
|
Wed 8:45 |
On the Complexity of Differentially Private Best-Arm Identification with Fixed Confidence Achraf Azize · Marc Jourdan · Aymen Al Marjani · Debabrota Basu |
|
|
Poster
|
Thu 8:45 |
Black-Box Differential Privacy for Interactive ML Haim Kaplan · Yishay Mansour · Shay Moran · Kobbi Nissim · Uri Stemmer |
|
|
Poster
|
Tue 8:45 |
Gradient Descent with Linearly Correlated Noise: Theory and Applications to Differential Privacy Anastasiia Koloskova · Ryan McKenna · Zachary Charles · John Rush · H. Brendan McMahan |
|
|
Poster
|
Tue 15:15 |
k-Median Clustering via Metric Embedding: Towards Better Initialization with Differential Privacy Chenglin Fan · Ping Li · Xiaoyun Li |
|
|
Workshop
|
Correlated Noise Provably Beats Independent Noise for Differentially Private Learning Christopher A. Choquette-Choo · Krishnamurthy Dvijotham · Krishna Pillutla · Arun Ganesh · Thomas Steinke · Abhradeep Guha Thakurta |
||
|
Poster
|
Tue 8:45 |
Differentially Private Approximate Near Neighbor Counting in High Dimensions Alexandr Andoni · Piotr Indyk · Sepideh Mahabadi · Shyam Narayanan |
|
|
Poster
|
Thu 15:00 |
Flocks of Stochastic Parrots: Differentially Private Prompt Learning for Large Language Models Haonan Duan · Adam Dziedzic · Nicolas Papernot · Franziska Boenisch |