Cover Image

MAED: Mathematical Activation Error Detection for Mitigating Physical Fault Attacks in DNN Inference

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ahmadi, Kasra, Aghapour, Saeed, Kermani, Mehran Mozaffari, Azarderakhsh, Reza
Format:	Preprint
Published:	2026
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

Efficient Fault Detection Architectures for Modular Exponentiation Targeting Cryptographic Applications Benchmarked on FPGAs
by: Aghapour, Saeed, et al.
Published: (2024)

Efficient Algorithm Level Error Detection for Number-Theoretic Transform used for Kyber Assessed on FPGAs and ARM
by: Ahmadi, Kasra, et al.
Published: (2024)

An Interactive Framework for Implementing Privacy-Preserving Federated Learning: Experiments on Large Language Models
by: Ahmadi, Kasra, et al.
Published: (2025)

DeepSweep: An Evaluation Framework for Mitigating DNN Backdoor Attacks using Data Augmentation
by: Qiu, Han, et al.
Published: (2020)

Exploring the Effect of DNN Depth on Adversarial Attacks in Network Intrusion Detection Systems
by: ElShehaby, Mohamed, et al.
Published: (2025)

Low-Cost High-Power Membership Inference Attacks
by: Zarifzadeh, Sajjad, et al.
Published: (2023)

Backdoor Attacks on Fault Detection and Localization in Cyber-Physical Systems
by: Jean, Abile, et al.
Published: (2026)

Exploring DNN Robustness Against Adversarial Attacks Using Approximate Multipliers
by: Askarizadeh, Mohammad Javad, et al.
Published: (2024)

Countering Backdoor Attacks in Image Recognition: A Survey and Evaluation of Mitigation Strategies
by: Dunnett, Kealan, et al.
Published: (2024)

DeepEclipse: How to Break White-Box DNN-Watermarking Schemes
by: Pegoraro, Alessandro, et al.
Published: (2024)

DMGNN: Detecting and Mitigating Backdoor Attacks in Graph Neural Networks
by: Sui, Hao, et al.
Published: (2024)

Fair Finetuning Mitigates Distribution Inference Attacks
by: Naidu, Rakshit
Published: (2026)

FreqFed: A Frequency Analysis-Based Approach for Mitigating Poisoning Attacks in Federated Learning
by: Fereidooni, Hossein, et al.
Published: (2023)

AdaPI: Facilitating DNN Model Adaptivity for Efficient Private Inference in Edge Computing
by: Zhou, Tong, et al.
Published: (2024)

Fake or Compromised? Making Sense of Malicious Clients in Federated Learning
by: Mozaffari, Hamid, et al.
Published: (2024)

Mitigating Error Amplification in Fast Adversarial Training
by: Zhao, Mengnan, et al.
Published: (2026)

Imitative Membership Inference Attack
by: Du, Yuntao, et al.
Published: (2025)

Semi-Supervised Supply Chain Fraud Detection with Unsupervised Pre-Filtering
by: Moradi, Fatemeh, et al.
Published: (2025)

GShield: Mitigating Poisoning Attacks in Federated Learning
by: M., Sameera K., et al.
Published: (2025)

PiDAn: A Coherence Optimization Approach for Backdoor Attack Detection and Mitigation in Deep Neural Networks
by: Wang, Yue, et al.
Published: (2022)

Membership Inference Attacks on Sequence Models
by: Rossi, Lorenzo, et al.
Published: (2025)

Membership Inference Attacks for Unseen Classes
by: Thaker, Pratiksha, et al.
Published: (2025)

Membership Inference Attacks Beyond Overfitting
by: Khalil, Mona, et al.
Published: (2025)

Cascading and Proxy Membership Inference Attacks
by: Du, Yuntao, et al.
Published: (2025)

Persistent Backdoor Attacks in Continual Learning
by: Guo, Zhen, et al.
Published: (2024)

Deep Learning-Assisted Improved Differential Fault Attacks on Lightweight Stream Ciphers
by: Lim, Kok Ping, et al.
Published: (2026)

Secret-Key Agreement Through Hidden Markov Modeling of Wavelet Scattering Embeddings
by: Basha, Nora, et al.
Published: (2025)

Accuracy-Privacy Trade-off in the Mitigation of Membership Inference Attack in Federated Learning
by: Ahamed, Sayyed Farid, et al.
Published: (2024)

Practical Bayes-Optimal Membership Inference Attacks
by: Lassila, Marcus, et al.
Published: (2025)

Adaptive Domain Inference Attack with Concept Hierarchy
by: Gu, Yuechun, et al.
Published: (2023)

Enhancing Network Security: A Hybrid Approach for Detection and Mitigation of Distributed Denial-of-Service Attacks Using Machine Learning
by: Shohan, Nizo Jaman, et al.
Published: (2025)

FedGA: Federated Learning with Gradient Alignment for Error Asymmetry Mitigation
by: Xiao, Chenguang, et al.
Published: (2024)

Diff-Cleanse: Identifying and Mitigating Backdoor Attacks in Diffusion Models
by: Hao, Jiang, et al.
Published: (2024)

Mitigating Membership Inference Vulnerability in Personalized Federated Learning
by: Jung, Kangsoo, et al.
Published: (2025)

NoMod: A Non-modular Attack on Module Learning With Errors
by: Bassotto, Cristian, et al.
Published: (2025)

MedFedPure: A Medical Federated Framework with MAE-based Detection and Diffusion Purification for Inference-Time Attacks
by: Karami, Mohammad, et al.
Published: (2025)

MRMMIA: Membership Inference Attacks on Memory in Chat Agents
by: Chen, Kai, et al.
Published: (2026)

Rethinking Membership Inference Attacks Against Transfer Learning
by: Wu, Cong, et al.
Published: (2025)

Remote Timing Attacks on Efficient Language Model Inference
by: Carlini, Nicholas, et al.
Published: (2024)

Auditing Privacy Mechanisms via Label Inference Attacks
by: Busa-Fekete, Róbert István, et al.
Published: (2024)