Saved in:
| Main Authors: | Ji, Haoxuan, Lin, Zheng, Sun, Yuyao, Fei, Gao, Wang, Yuhang, Gao, Haichang, Niu, Zhenxing |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2408.11433 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Towards Aligned Data Forgetting via Twin Machine Unlearning
by: Niu, Zhenxing, et al.
Published: (2025)
by: Niu, Zhenxing, et al.
Published: (2025)
Robust MLLM Unlearning via Visual Knowledge Distillation
by: Wang, Yuhang, et al.
Published: (2025)
by: Wang, Yuhang, et al.
Published: (2025)
Null Space Constrained Contrastive Visual Forgetting for MLLM Unlearning
by: Wang, Yuhang, et al.
Published: (2026)
by: Wang, Yuhang, et al.
Published: (2026)
Guaranteed Jailbreaking Defense via Disrupt-and-Rectify Smoothing
by: Lin, Zheng, et al.
Published: (2026)
by: Lin, Zheng, et al.
Published: (2026)
Attention-Guided Reward for Reinforcement Learning-based Jailbreak against Large Reasoning Models
by: Lin, Zheng, et al.
Published: (2026)
by: Lin, Zheng, et al.
Published: (2026)
Re-Triggering Safeguards within LLMs for Jailbreak Detection
by: Lin, Zheng, et al.
Published: (2026)
by: Lin, Zheng, et al.
Published: (2026)
ICU-Bench:Benchmarking Continual Unlearning in Multimodal Large Language Models
by: Wang, Yuhang, et al.
Published: (2026)
by: Wang, Yuhang, et al.
Published: (2026)
Fair Machine Unlearning: Data Removal while Mitigating Disparities
by: Oesterling, Alex, et al.
Published: (2023)
by: Oesterling, Alex, et al.
Published: (2023)
Efficient LLM-Jailbreaking via Multimodal-LLM Jailbreak
by: Ji, Haoxuan, et al.
Published: (2024)
by: Ji, Haoxuan, et al.
Published: (2024)
Machine Unlearning Fails to Remove Data Poisoning Attacks
by: Pawelczyk, Martin, et al.
Published: (2024)
by: Pawelczyk, Martin, et al.
Published: (2024)
Does Machine Unlearning Truly Remove Knowledge?
by: Chen, Haokun, et al.
Published: (2025)
by: Chen, Haokun, et al.
Published: (2025)
Unlearning vs. Obfuscation: Are We Truly Removing Knowledge?
by: Sun, Guangzhi, et al.
Published: (2025)
by: Sun, Guangzhi, et al.
Published: (2025)
Towards Reliable Testing of Machine Unlearning
by: Mazhar, Anna, et al.
Published: (2026)
by: Mazhar, Anna, et al.
Published: (2026)
A Systematic Security Evaluation of OpenClaw and Its Variants
by: Wang, Yuhang, et al.
Published: (2026)
by: Wang, Yuhang, et al.
Published: (2026)
Data Augmentation Improves Machine Unlearning
by: Falcao, Andreza M. C., et al.
Published: (2025)
by: Falcao, Andreza M. C., et al.
Published: (2025)
From Assistant to Double Agent: Formalizing and Benchmarking Attacks on OpenClaw for Personalized Local AI Agent
by: Wang, Yuhang, et al.
Published: (2026)
by: Wang, Yuhang, et al.
Published: (2026)
Agentic Unlearning: When LLM Agent Meets Machine Unlearning
by: Wang, Bin, et al.
Published: (2026)
by: Wang, Bin, et al.
Published: (2026)
Efficiently Aligning Draft Models via Parameter- and Data-Efficient Adaptation
by: Lin, Luxi, et al.
Published: (2026)
by: Lin, Luxi, et al.
Published: (2026)
Sky of Unlearning (SoUL): Rewiring Federated Machine Unlearning via Selective Pruning
by: Zaman, Md Mahabub Uz, et al.
Published: (2025)
by: Zaman, Md Mahabub Uz, et al.
Published: (2025)
Graph Unlearning: Efficient Node Removal in Graph Neural Networks
by: Guan, Faqian, et al.
Published: (2025)
by: Guan, Faqian, et al.
Published: (2025)
Machine Unlearning in Contrastive Learning
by: Wang, Zixin, et al.
Published: (2024)
by: Wang, Zixin, et al.
Published: (2024)
Losing is for Cherishing: Data Valuation Based on Machine Unlearning and Shapley Value
by: Ma, Le, et al.
Published: (2025)
by: Ma, Le, et al.
Published: (2025)
Efficient Machine Unlearning via Influence Approximation
by: Liu, Jiawei, et al.
Published: (2025)
by: Liu, Jiawei, et al.
Published: (2025)
Machine Unlearning via Null Space Calibration
by: Chen, Huiqiang, et al.
Published: (2024)
by: Chen, Huiqiang, et al.
Published: (2024)
Machine Unlearning: Solutions and Challenges
by: Xu, Jie, et al.
Published: (2023)
by: Xu, Jie, et al.
Published: (2023)
Kernel-Free Universum Quadratic Surface Twin Support Vector Machines for Imbalanced Data
by: Moosaei, Hossein, et al.
Published: (2024)
by: Moosaei, Hossein, et al.
Published: (2024)
Unlink to Unlearn: Simplifying Edge Unlearning in GNNs
by: Tan, Jiajun, et al.
Published: (2024)
by: Tan, Jiajun, et al.
Published: (2024)
Scalable Federated Unlearning via Isolated and Coded Sharding
by: Lin, Yijing, et al.
Published: (2024)
by: Lin, Yijing, et al.
Published: (2024)
Deep Unlearn: Benchmarking Machine Unlearning for Image Classification
by: Cadet, Xavier F., et al.
Published: (2024)
by: Cadet, Xavier F., et al.
Published: (2024)
Beyond Sharp Minima: Robust LLM Unlearning via Feedback-Guided Multi-Point Optimization
by: Wu, Wenhan, et al.
Published: (2025)
by: Wu, Wenhan, et al.
Published: (2025)
Machine Unlearning in Low-Dimensional Feature Subspace
by: Fang, Kun, et al.
Published: (2026)
by: Fang, Kun, et al.
Published: (2026)
The Right to be Forgotten in Pruning: Unveil Machine Unlearning on Sparse Models
by: Xiao, Yang, et al.
Published: (2025)
by: Xiao, Yang, et al.
Published: (2025)
Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement
by: Huang, Zhehao, et al.
Published: (2024)
by: Huang, Zhehao, et al.
Published: (2024)
Zero-Shot Machine Unlearning with Proxy Adversarial Data Generation
by: Chen, Huiqiang, et al.
Published: (2025)
by: Chen, Huiqiang, et al.
Published: (2025)
Unlearning Information Bottleneck: Machine Unlearning of Systematic Patterns and Biases
by: Han, Ling, et al.
Published: (2024)
by: Han, Ling, et al.
Published: (2024)
MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement
by: Wang, Zifeng, et al.
Published: (2023)
by: Wang, Zifeng, et al.
Published: (2023)
Debiasing Machine Unlearning with Counterfactual Examples
by: Chen, Ziheng, et al.
Published: (2024)
by: Chen, Ziheng, et al.
Published: (2024)
Machine Unlearning under Overparameterization
by: Block, Jacob L., et al.
Published: (2025)
by: Block, Jacob L., et al.
Published: (2025)
Group-robust Machine Unlearning
by: De Min, Thomas, et al.
Published: (2025)
by: De Min, Thomas, et al.
Published: (2025)
A Survey of Machine Unlearning
by: Nguyen, Thanh Tam, et al.
Published: (2022)
by: Nguyen, Thanh Tam, et al.
Published: (2022)
Similar Items
-
Towards Aligned Data Forgetting via Twin Machine Unlearning
by: Niu, Zhenxing, et al.
Published: (2025) -
Robust MLLM Unlearning via Visual Knowledge Distillation
by: Wang, Yuhang, et al.
Published: (2025) -
Null Space Constrained Contrastive Visual Forgetting for MLLM Unlearning
by: Wang, Yuhang, et al.
Published: (2026) -
Guaranteed Jailbreaking Defense via Disrupt-and-Rectify Smoothing
by: Lin, Zheng, et al.
Published: (2026) -
Attention-Guided Reward for Reinforcement Learning-based Jailbreak against Large Reasoning Models
by: Lin, Zheng, et al.
Published: (2026)