Cover Image

When Forgetting Triggers Backdoors: A Clean Unlearning Attack

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Arazzi, Marco, Nocera, Antonino, P, Vinod
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

How Secure is Forgetting? Linking Machine Unlearning to Machine Learning Attacks
by: P., Muhammed Shafi K., et al.
Published: (2025)

Let's Focus: Focused Backdoor Attack against Federated Transfer Learning
by: Arazzi, Marco, et al.
Published: (2024)

KDk: A Defense Mechanism Against Label Inference Attacks in Vertical Federated Learning
by: Arazzi, Marco, et al.
Published: (2024)

LoRA as Oracle
by: Arazzi, Marco, et al.
Published: (2026)

A Deep Reinforcement Learning Approach for Security-Aware Service Acquisition in IoT
by: Arazzi, Marco, et al.
Published: (2024)

A Novel IoT Trust Model Leveraging Fully Distributed Behavioral Fingerprinting and Secure Delegation
by: Arazzi, Marco, et al.
Published: (2023)

Subject Data Auditing via Source Inference Attack in Cross-Silo Federated Learning
by: Li, Jiaxin, et al.
Published: (2024)

XBreaking: Understanding how LLMs security alignment can be broken
by: Arazzi, Marco, et al.
Published: (2025)

SD-RAG: A Prompt-Injection-Resilient Framework for Selective Disclosure in Retrieval-Augmented Generation
by: Masoud, Aiman Al, et al.
Published: (2026)

Privacy Preserving and Robust Aggregation for Cross-Silo Federated Learning in Non-IID Settings
by: Arazzi, Marco, et al.
Published: (2025)

Secure Federated Data Distillation
by: Arazzi, Marco, et al.
Published: (2025)

SecureBreak -- A dataset towards safe and secure models
by: Arazzi, Marco, et al.
Published: (2026)

You Snooze, You Lose: Automatic Safety Alignment Restoration through Neural Weight Translation
by: Arazzi, Marco, et al.
Published: (2026)

DroidTTP: Mapping Android Applications with TTP for Cyber Threat Intelligence
by: Arikkat, Dincy R, et al.
Published: (2025)

Label Inference Attacks against Node-level Vertical Federated GNNs
by: Arazzi, Marco, et al.
Published: (2023)

SoK: The Last Line of Defense: On Backdoor Defense Evaluation
by: Abad, Gorka, et al.
Published: (2025)

Towards Certified Malware Detection: Provable Guarantees Against Evasion Attacks
by: Giri, Nandakrishna, et al.
Published: (2026)

Security in LLM-as-a-Judge: A Comprehensive SoK
by: Masoud, Aiman Al, et al.
Published: (2026)

Privacy-Preserving in Blockchain-based Federated Learning Systems
by: M., Sameera K., et al.
Published: (2024)

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

Clean-image Backdoor Attacks
by: Rong, Dazhong, et al.
Published: (2024)

Isolate Trigger: Detecting and Eliminating Adaptive Backdoor Attacks
by: Sun, Chengrui, et al.
Published: (2025)

A Practical Trigger-Free Backdoor Attack on Neural Networks
by: Wang, Jiahao, et al.
Published: (2024)

Clean-Label Physical Backdoor Attacks with Data Distillation
by: Dao, Thinh, et al.
Published: (2024)

A Set of Generalized Components to Achieve Effective Poison-only Clean-label Backdoor Attacks with Collaborative Sample Selection and Triggers
by: Wu, Zhixiao, et al.
Published: (2025)

UltraClean: A Simple Framework to Train Robust Neural Networks against Backdoor Attacks
by: Zhao, Bingyin, et al.
Published: (2023)

When Backdoors Go Beyond Triggers: Semantic Drift in Diffusion Models Under Encoder Attacks
by: Chen, Shenyang, et al.
Published: (2026)

Injection, Attack and Erasure: Revocable Backdoor Attacks via Machine Unlearning
by: Song, Baogang, et al.
Published: (2025)

Unified Neural Backdoor Removal with Only Few Clean Samples through Unlearning and Relearning
by: Min, Nay Myat, et al.
Published: (2024)

Attack by Yourself: Effective and Unnoticeable Multi-Category Graph Backdoor Attacks with Subgraph Triggers Pool
by: Li, Jiangtong, et al.
Published: (2024)

Mitigating Backdoor Triggered and Targeted Data Poisoning Attacks in Voice Authentication Systems
by: Mohammadi, Alireza, et al.
Published: (2025)

Unlearning Backdoor Attacks through Gradient-Based Model Pruning
by: Dunnett, Kealan, et al.
Published: (2024)

CL-Attack: Textual Backdoor Attacks via Cross-Lingual Triggers
by: Zheng, Jingyi, et al.
Published: (2024)

Revisiting Training-Inference Trigger Intensity in Backdoor Attacks
by: Lin, Chenhao, et al.
Published: (2025)

Invisible Textual Backdoor Attacks based on Dual-Trigger
by: Hou, Yang, et al.
Published: (2024)

Selection-Based Vulnerabilities: Clean-Label Backdoor Attacks in Active Learning
by: Zhi, Yuhan, et al.
Published: (2025)

FFCBA: Feature-based Full-target Clean-label Backdoor Attacks
by: Yin, Yangxu, et al.
Published: (2025)

SeCTIS: A Framework to Secure CTI Sharing
by: Arikkat, Dincy R., et al.
Published: (2024)

One-to-Multiple Clean-Label Image Camouflage (OmClic) based Backdoor Attack on Deep Learning
by: Wang, Guohong, et al.
Published: (2023)

Towards Sample-specific Backdoor Attack with Clean Labels via Attribute Trigger
by: Zhu, Mingyan, et al.
Published: (2023)