Cover Image

A Review and Comparison of AI Enhanced Side Channel Analysis

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Panoff, Max, Yu, Honggang, Shan, Haoqi, Jin, Yier
Format:	Preprint
Published:	2024
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

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

Invisible Finger: Practical Electromagnetic Interference Attack on Touchscreen-based Electronic Devices
by: Shan, Haoqi, et al.
Published: (2024)

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

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

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

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

On the Evaluation of User Privacy in Deep Neural Networks using Timing Side Channel
by: Shukla, Shubhi, et al.
Published: (2022)

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

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

VoltSchemer: Use Voltage Noise to Manipulate Your Wireless Charger
by: Zhan, Zihao, et al.
Published: (2024)

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

Revealing CNN Architectures via Side-Channel Analysis in Dataflow-based Inference Accelerators
by: Weerasena, Hansika, et al.
Published: (2023)

MERLOT: A Distilled LLM-based Mixture-of-Experts Framework for Scalable Encrypted Traffic Classification
by: Chen, Yuxuan, et al.
Published: (2024)

Cape: Context-Aware Prompt Perturbation Mechanism with Differential Privacy
by: Wu, Haoqi, et al.
Published: (2025)

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

FLARE: A Wireless Side-Channel Fingerprinting Attack on Federated Learning
by: Shuvo, Md Nahid Hasan, et al.
Published: (2025)

Ditto: Quantization-aware Secure Inference of Transformers upon MPC
by: Wu, Haoqi, et al.
Published: (2024)

Towards Strengthening Deep Learning-based Side Channel Attacks with Mixup
by: Luo, Zhimin, et al.
Published: (2021)

Adversarial Attack Based Countermeasures against Deep Learning Side-Channel Attacks
by: Gu, Ruizhe, et al.
Published: (2020)

ObCLIP: Oblivious CLoud-Device Hybrid Image Generation with Privacy Preservation
by: Wu, Haoqi, et al.
Published: (2025)

The Early Bird Catches the Leak: Unveiling Timing Side Channels in LLM Serving Systems
by: Song, Linke, et al.
Published: (2024)

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

Shape and Substance: Dual-Layer Side-Channel Attacks on Local Vision-Language Models
by: Hadad, Eyal, et al.
Published: (2026)

Precise Extraction of Deep Learning Models via Side-Channel Attacks on Edge/Endpoint Devices
by: Lee, Younghan, 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)

When Evaluation Becomes a Side Channel: Regime Leakage and Structural Mitigations for Alignment Assessment
by: Santos-Grueiro, Igor
Published: (2026)

Enhancing Security Control Production With Generative AI
by: Ling, Chen, et al.
Published: (2024)

Privacy-Enhanced Zero-Order Federated Learning via xMK-CKKS over Wireless Channels
by: Ayli, Anthony, et al.
Published: (2026)

Differentially Private Federated $k$-Means Clustering with Server-Side Data
by: Scott, Jonathan, et al.
Published: (2025)

The Dark Side of Digital Twins: Adversarial Attacks on AI-Driven Water Forecasting
by: Homaei, Mohammadhossein, et al.
Published: (2025)

Provable Watermarking for Data Poisoning Attacks
by: Zhu, Yifan, et al.
Published: (2025)

Trusting What You Cannot See: Auditable Fine-Tuning and Inference for Proprietary AI
by: Jin, Heng, et al.
Published: (2026)

SAFES: Sequential Privacy and Fairness Enhancing Data Synthesis for Responsible AI
by: Giddens, Spencer, et al.
Published: (2024)

A Comparison of Adversarial Learning Techniques for Malware Detection
by: Louthánová, Pavla, et al.
Published: (2023)

Improving IoT Intrusion Detection Through SMOTE-Based Oversampling and Extended Multi-Model Evaluation on Side-Channel Power Data
by: Shahzad, Muhammad Khuram, et al.
Published: (2026)

Harnessing PU Learning for Enhanced Cloud-based DDoS Detection: A Comparative Analysis
by: Dilworth, Robert, et al.
Published: (2024)

A Comparison of Selected Image Transformation Techniques for Malware Classification
by: Agrawal, Rishit, et al.
Published: (2025)

A Channel-Triggered Backdoor Attack on Wireless Semantic Image Reconstruction
by: Wan, Jialin, et al.
Published: (2025)

Trust the Process: Zero-Knowledge Machine Learning to Enhance Trust in Generative AI Interactions
by: Ganescu, Bianca-Mihaela, et al.
Published: (2024)

Adaptive Deception Framework with Behavioral Analysis for Enhanced Cybersecurity Defense
by: AL-Zahrani, Basil Abdullah
Published: (2025)