Copertina

The last Dance : Robust backdoor attack via diffusion models and bayesian approach

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autore principale:	Mengara, Orson
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Artificial Intelligence Cryptography and Security Signal Processing
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

A Backdoor Approach with Inverted Labels Using Dirty Label-Flipping Attacks
di: Mengara, Orson
Pubblicazione: (2024)

Trading Devil: Robust backdoor attack via Stochastic investment models and Bayesian approach
di: Mengara, Orson
Pubblicazione: (2024)

The Art of Deception: Robust Backdoor Attack using Dynamic Stacking of Triggers
di: Mengara, Orson
Pubblicazione: (2024)

Trading Devil Final: Backdoor attack via Stock market and Bayesian Optimization
di: Mengara, Orson
Pubblicazione: (2024)

Effective backdoor attack on graph neural networks in link prediction tasks
di: Dai, Jiazhu, et al.
Pubblicazione: (2024)

A Trustworthy AIoT-enabled Localization System via Federated Learning and Blockchain
di: Wang, Junfei, et al.
Pubblicazione: (2024)

Graph Neural Networks for Physical-Layer Security in Multi-User Flexible-Duplex Networks
di: Perera, Tharaka, et al.
Pubblicazione: (2024)

Differentially Private Multimodal Laplacian Dropout (DP-MLD) for EEG Representative Learning
di: Fu, Xiaowen, et al.
Pubblicazione: (2024)

Lightweight MobileNetV1+GRU for ECG Biometric Authentication: Federated and Adversarial Evaluation
di: Rai, Dilli Hang, et al.
Pubblicazione: (2025)

Feedback Lunch: Learned Feedback Codes for Secure Communications
di: Zhou, Yingyao, et al.
Pubblicazione: (2025)

Phase Correction using Deep Learning for Satellite-to-Ground CV-QKD
di: Long, Nathan K., et al.
Pubblicazione: (2023)

A general approach to enhance the survivability of backdoor attacks by decision path coupling
di: Zhao, Yufei, et al.
Pubblicazione: (2024)

Adversarial Attack and Defense for LoRa Device Identification and Authentication via Deep Learning
di: Sagduyu, Yalin E., et al.
Pubblicazione: (2024)

Radio Frequency Fingerprinting via Deep Learning: Challenges and Opportunities
di: Al-Hazbi, Saeif, et al.
Pubblicazione: (2023)

Edge AI-based Radio Frequency Fingerprinting for IoT Networks
di: Hussain, Ahmed Mohamed, et al.
Pubblicazione: (2024)

Integration of AI in Cybersecurity: Current Trends with a Focused Look at Intrusion Detection Applications
di: Tazili, S., et al.
Pubblicazione: (2026)

Adversarial Artifact Detection in EEG-Based Brain-Computer Interfaces
di: Chen, Xiaoqing, et al.
Pubblicazione: (2022)

DCInject: Persistent Backdoor Attacks via Frequency Manipulation in Personal Federated Learning
di: Birhan, Nahom, et al.
Pubblicazione: (2026)

Spikewhisper: Temporal Spike Backdoor Attacks on Federated Neuromorphic Learning over Low-power Devices
di: Fu, Hanqing, et al.
Pubblicazione: (2024)

Differentially Private GANs for Generating Synthetic Indoor Location Data
di: Moghtadaiee, Vahideh, et al.
Pubblicazione: (2024)

Watermarking and Anomaly Detection in Machine Learning Models for LORA RF Fingerprinting
di: Mahajan, Aarushi, et al.
Pubblicazione: (2025)

Adaptive Coded Federated Learning: Privacy Preservation and Straggler Mitigation
di: Li, Chengxi, et al.
Pubblicazione: (2024)

Data-Driven Subsampling in the Presence of an Adversarial Actor
di: Jameel, Abu Shafin Mohammad Mahdee, et al.
Pubblicazione: (2024)

Improving Transferability of Network Intrusion Detection in a Federated Learning Setup
di: Ghosh, Shreya, et al.
Pubblicazione: (2024)

SignSGD with Federated Defense: Harnessing Adversarial Attacks through Gradient Sign Decoding
di: Park, Chanho, et al.
Pubblicazione: (2024)

Identity information based on human magnetocardiography signals
di: Zhang, Pengju, et al.
Pubblicazione: (2024)

Transfer-based Adversarial Poisoning Attacks for Online (MIMO-)Deep Receviers
di: Wu, Kunze, et al.
Pubblicazione: (2024)

FedSC: Provable Federated Self-supervised Learning with Spectral Contrastive Objective over Non-i.i.d. Data
di: Jing, Shusen, et al.
Pubblicazione: (2024)

Federated Low-Rank Adaptation with Differential Privacy over Wireless Networks
di: Kang, Tianqu, et al.
Pubblicazione: (2024)

Time-bound Contextual Bio-ID Generation for Minimalist Wearables
di: Orzikulova, Adiba, et al.
Pubblicazione: (2024)

Golden Ratio Search: A Low-Power Adversarial Attack for Deep Learning based Modulation Classification
di: Sadhukhan, Deepsayan, et al.
Pubblicazione: (2024)

Federated Learning and Differential Privacy Techniques on Multi-hospital Population-scale Electrocardiogram Data
di: Agrawal, Vikhyat, et al.
Pubblicazione: (2024)

CWGAN-GP Augmented CAE for Jamming Detection in 5G-NR in Non-IID Datasets
di: Kuili, Samhita, et al.
Pubblicazione: (2025)

mmFHE: mmWave Sensing with End-to-End Fully Homomorphic Encryption
di: Ahmed, Tanvir, et al.
Pubblicazione: (2026)

Rapid LoRA Aggregation for Wireless Channel Adaptation in Open-Set Radio Frequency Fingerprinting
di: Zhang, Mingxi, et al.
Pubblicazione: (2026)

An Adversarial-Driven Experimental Study on Deep Learning for RF Fingerprinting
di: Cao, Xinyu, et al.
Pubblicazione: (2025)

C-AAE: Compressively Anonymizing Autoencoders for Privacy-Preserving Activity Recognition in Healthcare Sensor Streams
di: Fujimoto, Ryusei, et al.
Pubblicazione: (2025)

An Inversion Theorem for Buffered Linear Toeplitz (BLT) Matrices and Applications to Streaming Differential Privacy
di: McMahan, H. Brendan, et al.
Pubblicazione: (2025)

Mitigating Data Injection Attacks on Federated Learning
di: Shalom, Or, et al.
Pubblicazione: (2023)

A Kolmogorov-Arnold Network for Explainable Detection of Cyberattacks on EV Chargers
di: Saber, Ahmad Mohammad, et al.
Pubblicazione: (2025)