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Rethinking Privacy in Machine Learning Pipelines from an Information
  Flow Control Perspective

Rethinking Privacy in Machine Learning Pipelines from an Information Flow Control Perspective

27 November 2023
Lukas Wutschitz
Boris Köpf
Andrew Paverd
Saravan Rajmohan
Ahmed Salem
Shruti Tople
Santiago Zanella Béguelin
Menglin Xia
Victor Rühle
ArXivPDFHTML

Papers citing "Rethinking Privacy in Machine Learning Pipelines from an Information Flow Control Perspective"

14 / 14 papers shown
Title
Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation
Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation
Qianren Mao
Qili Zhang
Hanwen Hao
Zhentao Han
Runhua Xu
...
Jing Chen
Yangqiu Song
Jin Dong
Jianxin Li
Philip S. Yu
76
1
0
27 Apr 2025
CoRAG: Collaborative Retrieval-Augmented Generation
CoRAG: Collaborative Retrieval-Augmented Generation
Aashiq Muhamed
Mona Diab
Virginia Smith
35
0
0
02 Apr 2025
SoK: A Systems Perspective on Compound AI Threats and Countermeasures
SoK: A Systems Perspective on Compound AI Threats and Countermeasures
Sarbartha Banerjee
Prateek Sahu
Mulong Luo
Anjo Vahldiek-Oberwagner
N. Yadwadkar
Mohit Tiwari
AAML
77
0
0
20 Nov 2024
Permissive Information-Flow Analysis for Large Language Models
Permissive Information-Flow Analysis for Large Language Models
Shoaib Ahmed Siddiqui
Radhika Gaonkar
Boris Köpf
David M. Krueger
Andrew Paverd
Ahmed Salem
Shruti Tople
Lukas Wutschitz
Menglin Xia
Santiago Zanella Béguelin
38
1
0
04 Oct 2024
ConfusedPilot: Confused Deputy Risks in RAG-based LLMs
ConfusedPilot: Confused Deputy Risks in RAG-based LLMs
Ayush RoyChowdhury
Mulong Luo
Prateek Sahu
Sarbartha Banerjee
Mohit Tiwari
SILM
56
4
0
09 Aug 2024
MeMemo: On-device Retrieval Augmentation for Private and Personalized
  Text Generation
MeMemo: On-device Retrieval Augmentation for Private and Personalized Text Generation
Zijie J. Wang
Duen Horng Chau
51
4
0
02 Jul 2024
Privacy Preserving Prompt Engineering: A Survey
Privacy Preserving Prompt Engineering: A Survey
Kennedy Edemacu
Xintao Wu
63
18
0
09 Apr 2024
DP-RDM: Adapting Diffusion Models to Private Domains Without Fine-Tuning
DP-RDM: Adapting Diffusion Models to Private Domains Without Fine-Tuning
Jonathan Lebensold
Maziar Sanjabi
Pietro Astolfi
Adriana Romero Soriano
Kamalika Chaudhuri
Mike Rabbat
Chuan Guo
DiffM
34
4
0
21 Mar 2024
Instruction Fine-Tuning: Does Prompt Loss Matter?
Instruction Fine-Tuning: Does Prompt Loss Matter?
Mathew Huerta-Enochian
Seung Yong Ko
21
6
0
24 Jan 2024
Information Flow Control in Machine Learning through Modular Model
  Architecture
Information Flow Control in Machine Learning through Modular Model Architecture
Trishita Tiwari
Suchin Gururangan
Chuan Guo
Weizhe Hua
Sanjay Kariyappa
Udit Gupta
Wenjie Xiong
Kiwan Maeng
Hsien-Hsin S. Lee
G. E. Suh
26
6
0
05 Jun 2023
Re-Imagen: Retrieval-Augmented Text-to-Image Generator
Re-Imagen: Retrieval-Augmented Text-to-Image Generator
Wenhu Chen
Hexiang Hu
Chitwan Saharia
William W. Cohen
VLM
131
164
0
29 Sep 2022
Differentially Private Fine-tuning of Language Models
Differentially Private Fine-tuning of Language Models
Da Yu
Saurabh Naik
A. Backurs
Sivakanth Gopi
Huseyin A. Inan
...
Y. Lee
Andre Manoel
Lukas Wutschitz
Sergey Yekhanin
Huishuai Zhang
134
351
0
13 Oct 2021
Extracting Training Data from Large Language Models
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
290
1,831
0
14 Dec 2020
Distilling Knowledge from Reader to Retriever for Question Answering
Distilling Knowledge from Reader to Retriever for Question Answering
Gautier Izacard
Edouard Grave
RALM
185
251
0
08 Dec 2020
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