Cover Image

On the Evaluation of User Privacy in Deep Neural Networks using Timing Side Channel

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Shukla, Shubhi, Alam, Manaar, Bhattacharya, Sarani, Mukhopadhyay, Debdeep, Mitra, Pabitra
Format:	Preprint
Published:	2022
Subjects:	Cryptography and Security Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Stealing the Invisible: Unveiling Pre-Trained CNN Models through Adversarial Examples and Timing Side-Channels
by: Shukla, Shubhi, et al.
Published: (2024)

"Energon": Unveiling Transformers from GPU Power and Thermal Side-Channels
by: Chaudhuri, Arunava, et al.
Published: (2025)

Deep-Lock: Secure Authorization for Deep Neural Networks
by: Alam, Manaar, et al.
Published: (2020)

ReVeil: Unconstrained Concealed Backdoor Attack on Deep Neural Networks using Machine Unlearning
by: Alam, Manaar, et al.
Published: (2025)

Addendum: Systematic Evaluation of Randomized Cache Designs against Cache Occupancy
by: Chakraborty, Anirban, et al.
Published: (2025)

Systematic Evaluation of Randomized Cache Designs against Cache Occupancy
by: Chakraborty, Anirban, et al.
Published: (2023)

Privacy Side Channels in Machine Learning Systems
by: Debenedetti, Edoardo, et al.
Published: (2023)

LLMPot: Dynamically Configured LLM-based Honeypot for Industrial Protocol and Physical Process Emulation
by: Vasilatos, Christoforos, et al.
Published: (2024)

PAPER: Privacy-Preserving Convolutional Neural Networks using Low-Degree Polynomial Approximations and Structural Optimizations on Leveled FHE
by: Chielle, Eduardo, et al.
Published: (2025)

PrivacySIM: Evaluating LLM Simulation of User Privacy Behavior
by: Flemings, James, et al.
Published: (2026)

A Deep-Learning Technique to Locate Cryptographic Operations in Side-Channel Traces
by: Chiari, Giuseppe, et al.
Published: (2024)

Exact Soft Analytical Side-Channel Attacks using Tractable Circuits
by: Wedenig, Thomas, et al.
Published: (2025)

Unveiling ECC Vulnerabilities: LSTM Networks for Operation Recognition in Side-Channel Attacks
by: Battistello, Alberto, et al.
Published: (2025)

Privacy-aware Gaussian Process Regression
by: Tuo, Rui, et al.
Published: (2023)

Modeling Neural Networks with Privacy Using Neural Stochastic Differential Equations
by: Hong, Sanghyun, et al.
Published: (2025)

Preserving Node-level Privacy in Graph Neural Networks
by: Xiang, Zihang, et al.
Published: (2023)

Provable Privacy Attacks on Trained Shallow Neural Networks
by: Smorodinsky, Guy, et al.
Published: (2024)

Privacy-Preserving Verifiable Neural Network Inference Service
by: Riasi, Arman, et al.
Published: (2024)

Privacy-Preserving 3-Layer Neural Network Training
by: Chiang, John
Published: (2023)

A Review and Comparison of AI Enhanced Side Channel Analysis
by: Panoff, Max, et al.
Published: (2024)

VoxGuard: Evaluating User and Attribute Privacy in Speech via Membership Inference Attacks
by: Tsaprazlis, Efthymios, et al.
Published: (2025)

Towards Robust Real-Time Hardware-based Mobile Malware Detection using Multiple Instance Learning Formulation
by: Kumar, Harshit, et al.
Published: (2024)

TrEEStealer: Stealing Decision Trees via Enclave Side Channels
by: Sander, Jonas, et al.
Published: (2026)

TeleSparse: Practical Privacy-Preserving Verification of Deep Neural Networks
by: Maheri, Mohammad M, et al.
Published: (2025)

Privacy Amplification by Structured Subsampling for Deep Differentially Private Time Series Forecasting
by: Schuchardt, Jan, et al.
Published: (2025)

DPAR: Decoupled Graph Neural Networks with Node-Level Differential Privacy
by: Zhang, Qiuchen, et al.
Published: (2022)

Local Differential Privacy in Graph Neural Networks: a Reconstruction Approach
by: Bhaila, Karuna, et al.
Published: (2023)

Privacy-Preserving Intrusion Detection using Convolutional Neural Networks
by: Kodys, Martin, et al.
Published: (2024)

Time Will Tell: Timing Side Channels via Output Token Count in Large Language Models
by: Zhang, Tianchen, et al.
Published: (2024)

Selective KV-Cache Sharing to Mitigate Timing Side-Channels in LLM Inference
by: Chu, Kexin, et al.
Published: (2025)

Navigating the Deep: End-to-End Extraction on Deep Neural Networks
by: Liu, Haolin, et al.
Published: (2025)

Publishing Neural Networks in Drug Discovery Might Compromise Training Data Privacy
by: Krüger, Fabian P., et al.
Published: (2024)

Backdoor Channels Hidden in Latent Space: Cryptographic Undetectability in Modern Neural Networks
by: Eggen, Marte, et al.
Published: (2026)

ASCENT: Amplifying Power Side-Channel Resilience via Learning & Monte-Carlo Tree Search
by: Bhandari, Jitendra, et al.
Published: (2024)

Improving Location-based Thermal Emission Side-Channel Analysis Using Iterative Transfer Learning
by: Lou, Tun-Chieh, et al.
Published: (2024)

Degree-Preserving Randomized Response for Graph Neural Networks under Local Differential Privacy
by: Hidano, Seira, et al.
Published: (2022)

A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability
by: Dai, Enyan, et al.
Published: (2022)

Precise Extraction of Deep Learning Models via Side-Channel Attacks on Edge/Endpoint Devices
by: Lee, Younghan, et al.
Published: (2024)

Interpreting Emergent Features in Deep Learning-based Side-channel Analysis
by: Karayalçin, Sengim, et al.
Published: (2025)

Patch Synthesis for Property Repair of Deep Neural Networks
by: Chi, Zhiming, et al.
Published: (2024)