Cover Image

Shadow Unlearning: A Neuro-Semantic Approach to Fidelity-Preserving Faceless Forgetting in LLMs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	P, Dinesh Srivasthav, Urlana, Ashok, Mishra, Rahul, Garlapati, Bala Mallikarjunarao, Kumaraguru, Ponnurangam
Format:	Preprint
Published:	2026
Subjects:	Cryptography and Security Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Cyber for AI at SemEval-2025 Task 4: Forgotten but Not Lost: The Balancing Act of Selective Unlearning in Large Language Models
by: P, Dinesh Srivasthav, et al.
Published: (2025)

HalluCounter: Reference-free LLM Hallucination Detection in the Wild!
by: Urlana, Ashok, et al.
Published: (2025)

A Cognac Shot To Forget Bad Memories: Corrective Unlearning for Graph Neural Networks
by: Kolipaka, Varshita, et al.
Published: (2024)

LLMs with Industrial Lens: Deciphering the Challenges and Prospects -- A Survey
by: Urlana, Ashok, et al.
Published: (2024)

Beyond Static Datasets: A Behavior-Driven Entity-Specific Simulation to Overcome Data Scarcity and Train Effective Crypto Anti-Money Laundering Models
by: P, Dinesh Srivasthav, et al.
Published: (2025)

No LLM is Free From Bias: A Comprehensive Study of Bias Evaluation in Large Language Models
by: Kumar, Charaka Vinayak, et al.
Published: (2025)

Semantic-Preserving Adversarial Attacks on LLMs: An Adaptive Greedy Binary Search Approach
by: Zhang, Chong, et al.
Published: (2025)

No Size Fits All: The Perils and Pitfalls of Leveraging LLMs Vary with Company Size
by: Urlana, Ashok, et al.
Published: (2024)

Corrective Machine Unlearning
by: Goel, Shashwat, et al.
Published: (2024)

When Machine Unlearning Meets Retrieval-Augmented Generation (RAG): Keep Secret or Forget Knowledge?
by: Wang, Shang, et al.
Published: (2024)

ShadowCoT: Cognitive Hijacking for Stealthy Reasoning Backdoors in LLMs
by: Zhao, Gejian, et al.
Published: (2025)

FIT to Forget: Robust Continual Unlearning for Large Language Models
by: Xu, Xiaoyu, et al.
Published: (2026)

When Forgetting Triggers Backdoors: A Clean Unlearning Attack
by: Arazzi, Marco, et al.
Published: (2025)

Agent Ideate: A Framework for Product Idea Generation from Patents Using Agentic AI
by: Kanumolu, Gopichand, et al.
Published: (2025)

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

UCD: Unlearning in LLMs via Contrastive Decoding
by: Suriyakumar, Vinith M., et al.
Published: (2025)

Continual Pretraining on Encrypted Synthetic Data for Privacy-Preserving LLMs
by: Liu, Honghao, et al.
Published: (2026)

The Model's Language Matters: A Comparative Privacy Analysis of LLMs
by: Mishra, Abhishek K., et al.
Published: (2025)

Unlearning Backdoor Attacks for LLMs with Weak-to-Strong Knowledge Distillation
by: Zhao, Shuai, et al.
Published: (2024)

Unlearning Isn't Deletion: Investigating Reversibility of Machine Unlearning in LLMs
by: Xu, Xiaoyu, et al.
Published: (2025)

ACU: Analytic Continual Unlearning for Efficient and Exact Forgetting with Privacy Preservation
by: Tang, Jianheng, et al.
Published: (2025)

TrustAI at SemEval-2024 Task 8: A Comprehensive Analysis of Multi-domain Machine Generated Text Detection Techniques
by: Urlana, Ashok, et al.
Published: (2024)

Don't Forget Too Much: Towards Machine Unlearning on Feature Level
by: Xu, Heng, et al.
Published: (2024)

CRFU: Compressive Representation Forgetting Against Privacy Leakage on Machine Unlearning
by: Wang, Weiqi, et al.
Published: (2025)

Jailbreaking LLMs via Semantically Relevant Nested Scenarios with Targeted Toxic Knowledge
by: Xu, Ning, et al.
Published: (2025)

On the Hidden Costs of Counterfactual Knowledge Training in LLM Unlearning
by: Ye, Xiaotian, et al.
Published: (2026)

Forgetting-MarI: LLM Unlearning via Marginal Information Regularization
by: Xu, Shizhou, et al.
Published: (2025)

Towards identifying Source credibility on Information Leakage in Digital Gadget Market
by: Kumaru, Neha, et al.
Published: (2024)

TRUCE: Private Benchmarking to Prevent Contamination and Improve Comparative Evaluation of LLMs
by: Rajore, Tanmay, et al.
Published: (2024)

An Adaptive Neuro-Fuzzy Blockchain-AI Framework for Secure and Intelligent FinTech Transactions
by: Mishra, Gunjan, et al.
Published: (2026)

SAEs $\textit{Can}$ Improve Unlearning: Dynamic Sparse Autoencoder Guardrails for Precision Unlearning in LLMs
by: Muhamed, Aashiq, et al.
Published: (2025)

A Duty to Forget, a Right to be Assured? Exposing Vulnerabilities in Machine Unlearning Services
by: Hu, Hongsheng, et al.
Published: (2023)

Direct Token Optimization: A Self-contained Approach to Large Language Model Unlearning
by: Lee, Hong kyu, et al.
Published: (2025)

Privacy-Preserving Federated Unlearning with Certified Client Removal
by: Liu, Ziyao, et al.
Published: (2024)

The Jasmin Compiler Preserves Cryptographic Security
by: Arranz-Olmos, Santiago, et al.
Published: (2025)

Forgetting Similar Samples: Can Machine Unlearning Do it Better?
by: Xu, Heng, et al.
Published: (2026)

Forgetting to Witness: Efficient Federated Unlearning and Its Visible Evaluation
by: Wang, Houzhe, et al.
Published: (2026)

Privacy-Preserving Synthetic Review Generation with Diverse Writing Styles Using LLMs
by: Atwal, Tevin, et al.
Published: (2025)

Exploring News Summarization and Enrichment in a Highly Resource-Scarce Indian Language: A Case Study of Mizo
by: Bala, Abhinaba, et al.
Published: (2024)

A Content-Preserving Secure Linguistic Steganography
by: Xiang, Lingyun, et al.
Published: (2025)