Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be Secretly Coded into the Classifiers' Outputs

25 May 2021

Deniz Gündüz

Papers citing "Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be Secretly Coded into the Classifiers' Outputs"

20 / 20 papers shown

Title
PEEL the Layers and Find Yourself: Revisiting Inference-time Data Leakage for Residual Neural Networks Huzaifa Arif K. Murugesan Payel Das Alex Gittens Pin-Yu Chen AAML 31 0 0 08 Apr 2025
Trustworthy Federated Learning: Privacy, Security, and Beyond Chunlu Chen Ji Liu Haowen Tan Xingjian Li Kevin I-Kai Wang Peng Li Kouichi Sakurai Dejing Dou FedML 52 4 0 03 Nov 2024
A Method to Facilitate Membership Inference Attacks in Deep Learning Models Zitao Chen Karthik Pattabiraman MIACV MLAU AAML MIALM 75 1 0 02 Jul 2024
Decaf: Data Distribution Decompose Attack against Federated Learning Zhiyang Dai Chunyi Zhou Anmin Fu 34 2 0 24 May 2024
Unraveling Attacks in Machine Learning-based IoT Ecosystems: A Survey and the Open Libraries Behind Them Chao-Jung Liu Boxi Chen Wei Shao Chris Zhang Kelvin Wong Yi Zhang 29 3 0 22 Jan 2024
SoK: Unintended Interactions among Machine Learning Defenses and Risks Vasisht Duddu S. Szyller Nadarajah Asokan AAML 47 2 0 07 Dec 2023
Salted Inference: Enhancing Privacy while Maintaining Efficiency of Split Inference in Mobile Computing Mohammad Malekzadeh F. Kawsar FedML 27 5 0 20 Oct 2023
Anonymous Learning via Look-Alike Clustering: A Precise Analysis of Model Generalization Adel Javanmard Vahab Mirrokni 15 2 0 06 Oct 2023
ESAFL: Efficient Secure Additively Homomorphic Encryption for Cross-Silo Federated Learning Jiahui Wu Weizhe Zhang Fucai Luo 14 2 0 15 May 2023
Vicious Classifiers: Data Reconstruction Attack at Inference Time Mohammad Malekzadeh Deniz Gunduz AAML MIACV 16 0 0 08 Dec 2022
On the Alignment of Group Fairness with Attribute Privacy Jan Aalmoes Vasisht Duddu A. Boutet 38 2 0 18 Nov 2022
PriMask: Cascadable and Collusion-Resilient Data Masking for Mobile Cloud Inference Linshan Jiang Qun Song Rui Tan Mo Li 16 4 0 12 Nov 2022
Fairness in Forecasting of Observations of Linear Dynamical Systems Quan Zhou Jakub Mareˇcek Robert Shorten AI4TS 34 5 0 12 Sep 2022
Inferring Sensitive Attributes from Model Explanations Vasisht Duddu A. Boutet MIACV SILM 19 16 0 21 Aug 2022
You Don't Know My Favorite Color: Preventing Dialogue Representations from Revealing Speakers' Private Personas Haoran Li Yangqiu Song Lixin Fan 59 19 0 26 Apr 2022
Finding MNEMON: Reviving Memories of Node Embeddings Yun Shen Yufei Han Zhikun Zhang Min Chen Tingyue Yu Michael Backes Yang Zhang Gianluca Stringhini 21 14 0 14 Apr 2022
Training privacy-preserving video analytics pipelines by suppressing features that reveal information about private attributes C. Li Andrea Cavallaro PICV 14 0 0 05 Mar 2022
Dikaios: Privacy Auditing of Algorithmic Fairness via Attribute Inference Attacks Jan Aalmoes Vasisht Duddu A. Boutet 21 10 0 04 Feb 2022
Dopamine: Differentially Private Federated Learning on Medical Data Mohammad Malekzadeh Burak Hasircioglu N. Mital K. Katarya M. E. Ozfatura Deniz Gündüz OOD FedML 34 51 0 27 Jan 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 365 11,700 0 09 Mar 2017