Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2402.09477
Cited By
PANORAMIA: Privacy Auditing of Machine Learning Models without Retraining
12 February 2024
Mishaal Kazmi
H. Lautraite
Alireza Akbari
Mauricio Soroco
Qiaoyue Tang
Tao Wang
Sébastien Gambs
Mathias Lécuyer
Re-assign community
ArXiv
PDF
HTML
Papers citing
"PANORAMIA: Privacy Auditing of Machine Learning Models without Retraining"
9 / 9 papers shown
Title
Empirical Privacy Variance
Yuzheng Hu
Fan Wu
Ruicheng Xian
Yuhang Liu
Lydia Zakynthinou
Pritish Kamath
Chiyuan Zhang
David A. Forsyth
62
0
0
16 Mar 2025
Privacy Auditing of Large Language Models
Ashwinee Panda
Xinyu Tang
Milad Nasr
Christopher A. Choquette-Choo
Prateek Mittal
PILM
62
5
0
09 Mar 2025
Synthetic Data Can Mislead Evaluations: Membership Inference as Machine Text Detection
Ali Naseh
Niloofar Mireshghallah
49
0
0
20 Jan 2025
Do Parameters Reveal More than Loss for Membership Inference?
Anshuman Suri
Xiao Zhang
David E. Evans
MIACV
MIALM
AAML
42
1
0
17 Jun 2024
BadGD: A unified data-centric framework to identify gradient descent vulnerabilities
ChiHua Wang
Guang Cheng
SILM
32
5
0
24 May 2024
Revealing the True Cost of Locally Differentially Private Protocols: An Auditing Perspective
Héber H. Arcolezi
Sébastien Gambs
17
1
0
04 Sep 2023
Opacus: User-Friendly Differential Privacy Library in PyTorch
Ashkan Yousefpour
I. Shilov
Alexandre Sablayrolles
Davide Testuggine
Karthik Prasad
...
Sayan Gosh
Akash Bharadwaj
Jessica Zhao
Graham Cormode
Ilya Mironov
VLM
138
347
0
25 Sep 2021
Extracting Training Data from Large Language Models
Nicholas Carlini
Florian Tramèr
Eric Wallace
Matthew Jagielski
Ariel Herbert-Voss
...
Tom B. Brown
D. Song
Ulfar Erlingsson
Alina Oprea
Colin Raffel
MLAU
SILM
267
1,798
0
14 Dec 2020
Systematic Evaluation of Privacy Risks of Machine Learning Models
Liwei Song
Prateek Mittal
MIACV
177
357
0
24 Mar 2020
1