Model Inversion Attacks Meet Cryptographic Fuzzy Extractors
Fuente:
arXiv
Saved in:
| Main Authors: | Prabhakar, Mallika, Xu, Louise, Saxena, Prateek |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Attacking Byzantine Robust Aggregation in High Dimensions
by: Choudhary, Sarthak, et al.
Published: (2023)
by: Choudhary, Sarthak, et al.
Published: (2023)
Jailbreak Attack Initializations as Extractors of Compliance Directions
by: Levi, Amit, et al.
Published: (2025)
by: Levi, Amit, et al.
Published: (2025)
Indiscriminate Data Poisoning Attacks on Pre-trained Feature Extractors
by: Lu, Yiwei, et al.
Published: (2024)
by: Lu, Yiwei, et al.
Published: (2024)
A Machine Learning-Based Framework for Assessing Cryptographic Indistinguishability of Lightweight Block Ciphers
by: Dani, Jimmy, et al.
Published: (2024)
by: Dani, Jimmy, et al.
Published: (2024)
Model Provenance Testing for Large Language Models
by: Nikolic, Ivica, et al.
Published: (2025)
by: Nikolic, Ivica, et al.
Published: (2025)
A Sample-Level Evaluation and Generative Framework for Model Inversion Attacks
by: Li, Haoyang, et al.
Published: (2025)
by: Li, Haoyang, et al.
Published: (2025)
Ensembler: Protect Collaborative Inference Privacy from Model Inversion Attack via Selective Ensemble
by: Liu, Dancheng, et al.
Published: (2024)
by: Liu, Dancheng, et al.
Published: (2024)
Hacking Cryptographic Protocols with Advanced Variational Quantum Attacks
by: Aizpurua, Borja, et al.
Published: (2023)
by: Aizpurua, Borja, et al.
Published: (2023)
Distributional Black-Box Model Inversion Attack with Multi-Agent Reinforcement Learning
by: Bao, Huan, et al.
Published: (2024)
by: Bao, Huan, et al.
Published: (2024)
Evaluating Selective Encryption Against Gradient Inversion Attacks
by: Gu, Jiajun, et al.
Published: (2025)
by: Gu, Jiajun, et al.
Published: (2025)
Unelicitable Backdoors in Language Models via Cryptographic Transformer Circuits
by: Draguns, Andis, et al.
Published: (2024)
by: Draguns, Andis, et al.
Published: (2024)
A New Federated Learning Framework Against Gradient Inversion Attacks
by: Guo, Pengxin, et al.
Published: (2024)
by: Guo, Pengxin, et al.
Published: (2024)
Provable Robustness against Backdoor Attacks via the Primal-Dual Perspective on Differential Privacy
by: Saxena, Aman, et al.
Published: (2026)
by: Saxena, Aman, et al.
Published: (2026)
Learning to Localize Leakage of Cryptographic Sensitive Variables
by: Gammell, Jimmy, et al.
Published: (2025)
by: Gammell, Jimmy, et al.
Published: (2025)
Cryptographic Backdoor for Neural Networks: Boon and Bane
by: Ngo, Anh Tu, et al.
Published: (2025)
by: Ngo, Anh Tu, et al.
Published: (2025)
Neural Fuzzy Extractors: A Secure Way to Use Artificial Neural Networks for Biometric User Authentication
by: Jana, Abhishek, et al.
Published: (2020)
by: Jana, Abhishek, et al.
Published: (2020)
Improving ML Attacks on LWE with Data Repetition and Stepwise Regression
by: Alfarano, Alberto, et al.
Published: (2026)
by: Alfarano, Alberto, et al.
Published: (2026)
Beyond Static Tools: Evaluating Large Language Models for Cryptographic Misuse Detection
by: Masood, Zohaib, et al.
Published: (2024)
by: Masood, Zohaib, et al.
Published: (2024)
SVDefense: Effective Defense against Gradient Inversion Attacks via Singular Value Decomposition
by: Luo, Chenxiang, et al.
Published: (2025)
by: Luo, Chenxiang, et al.
Published: (2025)
ARES: Scalable and Practical Gradient Inversion Attack in Federated Learning through Activation Recovery
by: Gong, Zirui, et al.
Published: (2026)
by: Gong, Zirui, et al.
Published: (2026)
No More Guessing: a Verifiable Gradient Inversion Attack in Federated Learning
by: Diana, Francesco, et al.
Published: (2026)
by: Diana, Francesco, et al.
Published: (2026)
Diffusion-aided Task-oriented Semantic Communications with Model Inversion Attack
by: Wang, Xuesong, et al.
Published: (2025)
by: Wang, Xuesong, et al.
Published: (2025)
Unlearning Inversion Attacks for Graph Neural Networks
by: Zhang, Jiahao, et al.
Published: (2025)
by: Zhang, Jiahao, et al.
Published: (2025)
INTACT: Intent-Aware Representation Learning for Cryptographic Traffic Violation Detection
by: Ray, Rahul D
Published: (2026)
by: Ray, Rahul D
Published: (2026)
Salsa Fresca: Angular Embeddings and Pre-Training for ML Attacks on Learning With Errors
by: Stevens, Samuel, et al.
Published: (2024)
by: Stevens, Samuel, et al.
Published: (2024)
Model Inversion Attacks on Llama 3: Extracting PII from Large Language Models
by: Sivashanmugam, Sathesh P.
Published: (2025)
by: Sivashanmugam, Sathesh P.
Published: (2025)
PrivGNN: High-Performance Secure Inference for Cryptographic Graph Neural Networks
by: Wang, Fuyi, et al.
Published: (2025)
by: Wang, Fuyi, et al.
Published: (2025)
A Deep-Learning Technique to Locate Cryptographic Operations in Side-Channel Traces
by: Chiari, Giuseppe, et al.
Published: (2024)
by: Chiari, Giuseppe, et al.
Published: (2024)
Backdoor Channels Hidden in Latent Space: Cryptographic Undetectability in Modern Neural Networks
by: Eggen, Marte, et al.
Published: (2026)
by: Eggen, Marte, et al.
Published: (2026)
Practical Feasibility of Gradient Inversion Attacks in Federated Learning
by: Valadi, Viktor, et al.
Published: (2025)
by: Valadi, Viktor, et al.
Published: (2025)
Geminio: Language-Guided Gradient Inversion Attacks in Federated Learning
by: Shan, Junjie, et al.
Published: (2024)
by: Shan, Junjie, et al.
Published: (2024)
Transferable Embedding Inversion Attack: Uncovering Privacy Risks in Text Embeddings without Model Queries
by: Huang, Yu-Hsiang, et al.
Published: (2024)
by: Huang, Yu-Hsiang, et al.
Published: (2024)
A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks
by: Papadopoulos, Georgios, et al.
Published: (2025)
by: Papadopoulos, Georgios, et al.
Published: (2025)
FedRecAttack: Model Poisoning Attack to Federated Recommendation
by: Rong, Dazhong, et al.
Published: (2022)
by: Rong, Dazhong, et al.
Published: (2022)
LiteLMGuard: Seamless and Lightweight On-Device Prompt Filtering for Safeguarding Small Language Models against Quantization-induced Risks and Vulnerabilities
by: Nakka, Kalyan, et al.
Published: (2025)
by: Nakka, Kalyan, et al.
Published: (2025)
Calibration Attacks: A Comprehensive Study of Adversarial Attacks on Model Confidence
by: Obadinma, Stephen, et al.
Published: (2024)
by: Obadinma, Stephen, et al.
Published: (2024)
Attack and Defense of Deep Learning Models in the Field of Web Attack Detection
by: Shi, Lijia, et al.
Published: (2024)
by: Shi, Lijia, et al.
Published: (2024)
Model Extraction Attacks Revisited
by: Liang, Jiacheng, et al.
Published: (2023)
by: Liang, Jiacheng, et al.
Published: (2023)
MAIDS: Malicious Agent Identification-based Data Security Model for Cloud Environments
by: Gupta, Kishu, et al.
Published: (2024)
by: Gupta, Kishu, et al.
Published: (2024)
A Systematic Study of Model Extraction Attacks on Graph Foundation Models
by: Xu, Haoyan, et al.
Published: (2025)
by: Xu, Haoyan, et al.
Published: (2025)
Similar Items
-
Attacking Byzantine Robust Aggregation in High Dimensions
by: Choudhary, Sarthak, et al.
Published: (2023) -
Jailbreak Attack Initializations as Extractors of Compliance Directions
by: Levi, Amit, et al.
Published: (2025) -
Indiscriminate Data Poisoning Attacks on Pre-trained Feature Extractors
by: Lu, Yiwei, et al.
Published: (2024) -
A Machine Learning-Based Framework for Assessing Cryptographic Indistinguishability of Lightweight Block Ciphers
by: Dani, Jimmy, et al.
Published: (2024) -
Model Provenance Testing for Large Language Models
by: Nikolic, Ivica, et al.
Published: (2025)