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10 Security and Privacy Problems in Large Foundation Models

10 Security and Privacy Problems in Large Foundation Models

28 October 2021
Jinyuan Jia
Hongbin Liu
Neil Zhenqiang Gong
ArXivPDFHTML

Papers citing "10 Security and Privacy Problems in Large Foundation Models"

10 / 10 papers shown
Title
Towards Artificial General or Personalized Intelligence? A Survey on Foundation Models for Personalized Federated Intelligence
Towards Artificial General or Personalized Intelligence? A Survey on Foundation Models for Personalized Federated Intelligence
Yu Qiao
Huy Q. Le
Avi Deb Raha
Phuong-Nam Tran
Apurba Adhikary
Mengchun Zhang
Loc X. Nguyen
Eui-nam Huh
Dusit Niyato
Choong Seon Hong
AI4CE
31
0
0
11 May 2025
Evaluating the Efficacy of Foundational Models: Advancing Benchmarking
  Practices to Enhance Fine-Tuning Decision-Making
Evaluating the Efficacy of Foundational Models: Advancing Benchmarking Practices to Enhance Fine-Tuning Decision-Making
O. Amujo
S. Yang
32
0
0
25 Jun 2024
FCert: Certifiably Robust Few-Shot Classification in the Era of
  Foundation Models
FCert: Certifiably Robust Few-Shot Classification in the Era of Foundation Models
Yanting Wang
Wei Zou
Jinyuan Jia
47
1
0
12 Apr 2024
Generative Pre-trained Transformer: A Comprehensive Review on Enabling
  Technologies, Potential Applications, Emerging Challenges, and Future
  Directions
Generative Pre-trained Transformer: A Comprehensive Review on Enabling Technologies, Potential Applications, Emerging Challenges, and Future Directions
Gokul Yenduri
M. Ramalingam
G. C. Selvi
Y. Supriya
Gautam Srivastava
...
Rutvij H. Jhaveri
B. Prabadevi
Weizheng Wang
Athanasios V. Vasilakos
Thippa Reddy Gadekallu
AI4CE
LM&MA
20
166
0
11 May 2023
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
1,815
0
14 Dec 2020
Stealing Links from Graph Neural Networks
Stealing Links from Graph Neural Networks
Xinlei He
Jinyuan Jia
Michael Backes
Neil Zhenqiang Gong
Yang Zhang
AAML
63
168
0
05 May 2020
Systematic Evaluation of Privacy Risks of Machine Learning Models
Systematic Evaluation of Privacy Risks of Machine Learning Models
Liwei Song
Prateek Mittal
MIACV
196
358
0
24 Mar 2020
Cryptanalytic Extraction of Neural Network Models
Cryptanalytic Extraction of Neural Network Models
Nicholas Carlini
Matthew Jagielski
Ilya Mironov
FedML
MLAU
MIACV
AAML
72
134
0
10 Mar 2020
Certified Robustness of Community Detection against Adversarial
  Structural Perturbation via Randomized Smoothing
Certified Robustness of Community Detection against Adversarial Structural Perturbation via Randomized Smoothing
Jinyuan Jia
Binghui Wang
Xiaoyu Cao
Neil Zhenqiang Gong
AAML
83
83
0
09 Feb 2020
Analyzing Federated Learning through an Adversarial Lens
Analyzing Federated Learning through an Adversarial Lens
A. Bhagoji
Supriyo Chakraborty
Prateek Mittal
S. Calo
FedML
191
1,032
0
29 Nov 2018
1