PrivEraserVerify: Efficient, Private, and Verifiable Federated Unlearning
Fuente:
arXiv
Saved in:
| Main Authors: | Goswami, Parthaw, Islam, Md Khairul, Yeafi, Ashfak |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SwinTextUNet: Integrating CLIP-Based Text Guidance into Swin Transformer U-Nets for Medical Image Segmentation
by: Yeafi, Ashfak, et al.
Published: (2026)
by: Yeafi, Ashfak, et al.
Published: (2026)
Efficient Verified Machine Unlearning For Distillation
by: Quan, Yijun, et al.
Published: (2025)
by: Quan, Yijun, et al.
Published: (2025)
Verifiable Unlearning on Edge
by: Maheri, Mohammad M, et al.
Published: (2025)
by: Maheri, Mohammad M, et al.
Published: (2025)
Verifiable and Provably Secure Machine Unlearning
by: Eisenhofer, Thorsten, et al.
Published: (2022)
by: Eisenhofer, Thorsten, et al.
Published: (2022)
Verifying Machine Unlearning with Explainable AI
by: Vidal, Àlex Pujol, et al.
Published: (2024)
by: Vidal, Àlex Pujol, et al.
Published: (2024)
Causal Fuzzing for Verifying Machine Unlearning
by: Mazhar, Anna, et al.
Published: (2025)
by: Mazhar, Anna, et al.
Published: (2025)
Verifying Robust Unlearning: Probing Residual Knowledge in Unlearned Models
by: Xuan, Hao, et al.
Published: (2025)
by: Xuan, Hao, et al.
Published: (2025)
ErrorEraser: Unlearning Data Bias for Improved Continual Learning
by: Cao, Xuemei, et al.
Published: (2025)
by: Cao, Xuemei, et al.
Published: (2025)
WinTSR: A Windowed Temporal Saliency Rescaling Method for Interpreting Time Series Deep Learning Models
by: Islam, Md. Khairul, et al.
Published: (2024)
by: Islam, Md. Khairul, et al.
Published: (2024)
VerifiableFL: Verifiable Claims for Federated Learning using Exclaves
by: Guo, Jinnan, et al.
Published: (2024)
by: Guo, Jinnan, et al.
Published: (2024)
Efficiently Verifiable Proofs of Data Attribution
by: Karchmer, Ari, et al.
Published: (2025)
by: Karchmer, Ari, et al.
Published: (2025)
Verifying the Verifiers: Unveiling Pitfalls and Potentials in Fact Verifiers
by: Seo, Wooseok, et al.
Published: (2025)
by: Seo, Wooseok, et al.
Published: (2025)
PrivUn: Unveiling Latent Ripple Effects and Shallow Forgetting in Privacy Unlearning
by: Chen, Xiaoyi, et al.
Published: (2026)
by: Chen, Xiaoyi, et al.
Published: (2026)
PrivORL: Differentially Private Synthetic Dataset for Offline Reinforcement Learning
by: Gong, Chen, et al.
Published: (2025)
by: Gong, Chen, et al.
Published: (2025)
SCI-Verifier: Scientific Verifier with Thinking
by: Zheng, Shenghe, et al.
Published: (2025)
by: Zheng, Shenghe, et al.
Published: (2025)
PrivATE: Differentially Private Confidence Intervals for Average Treatment Effects
by: Schröder, Maresa, et al.
Published: (2025)
by: Schröder, Maresa, et al.
Published: (2025)
A Verifier Hierarchy
by: Kaptein, Maurits
Published: (2025)
by: Kaptein, Maurits
Published: (2025)
Critique to Verify: Accurate and Honest Test-Time Scaling with RL-Trained Verifiers
by: Yang, Zhicheng, et al.
Published: (2025)
by: Yang, Zhicheng, et al.
Published: (2025)
Covert Quantum Learning: Privately and Verifiably Learning from Quantum Data
by: Anand, Abhishek, et al.
Published: (2025)
by: Anand, Abhishek, et al.
Published: (2025)
PrivDFS: Private Inference via Distributed Feature Sharing against Data Reconstruction Attacks
by: Liu, Zihan, et al.
Published: (2025)
by: Liu, Zihan, et al.
Published: (2025)
SIFU: Sequential Informed Federated Unlearning for Efficient and Provable Client Unlearning in Federated Optimization
by: Fraboni, Yann, et al.
Published: (2022)
by: Fraboni, Yann, et al.
Published: (2022)
VeriThinker: Learning to Verify Makes Reasoning Model Efficient
by: Chen, Zigeng, et al.
Published: (2025)
by: Chen, Zigeng, et al.
Published: (2025)
End-to-End Verifiable Decentralized Federated Learning
by: Lee, Chaehyeon, et al.
Published: (2024)
by: Lee, Chaehyeon, et al.
Published: (2024)
Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers
by: Cai, Xin-Qiang, et al.
Published: (2025)
by: Cai, Xin-Qiang, et al.
Published: (2025)
Large Language Models for Financial Aid in Financial Time-series Forecasting
by: Islam, Md Khairul, et al.
Published: (2024)
by: Islam, Md Khairul, et al.
Published: (2024)
PrivSGP-VR: Differentially Private Variance-Reduced Stochastic Gradient Push with Tight Utility Bounds
by: Zhu, Zehan, et al.
Published: (2024)
by: Zhu, Zehan, et al.
Published: (2024)
Minerva: Reinforcement Learning with Verifiable Rewards for Cyber Threat Intelligence LLMs
by: Alam, Md Tanvirul, et al.
Published: (2026)
by: Alam, Md Tanvirul, et al.
Published: (2026)
SERA: Soft-Verified Efficient Repository Agents
by: Shen, Ethan, et al.
Published: (2026)
by: Shen, Ethan, et al.
Published: (2026)
FLClear: Visually Verifiable Multi-Client Watermarking for Federated Learning
by: Gu, Chen, et al.
Published: (2025)
by: Gu, Chen, et al.
Published: (2025)
VerifierQ: Enhancing LLM Test Time Compute with Q-Learning-based Verifiers
by: Qi, Jianing, et al.
Published: (2024)
by: Qi, Jianing, et al.
Published: (2024)
Goldfish: An Efficient Federated Unlearning Framework
by: Wang, Houzhe, et al.
Published: (2024)
by: Wang, Houzhe, et al.
Published: (2024)
Verified Neural Compressed Sensing
by: Bunel, Rudy, et al.
Published: (2024)
by: Bunel, Rudy, et al.
Published: (2024)
Streamlined Federated Unlearning: Unite as One to Be Highly Efficient
by: Zhou, Lei, et al.
Published: (2024)
by: Zhou, Lei, et al.
Published: (2024)
No More Guessing: a Verifiable Gradient Inversion Attack in Federated Learning
by: Diana, Francesco, et al.
Published: (2026)
by: Diana, Francesco, et al.
Published: (2026)
Agentic Rubrics as Contextual Verifiers for SWE Agents
by: Raghavendra, Mohit, et al.
Published: (2026)
by: Raghavendra, Mohit, et al.
Published: (2026)
Verifiable Split Learning via zk-SNARKs
by: Alaa, Rana, et al.
Published: (2025)
by: Alaa, Rana, et al.
Published: (2025)
On Learning Verifiers and Implications to Chain-of-Thought Reasoning
by: Balcan, Maria-Florina, et al.
Published: (2025)
by: Balcan, Maria-Florina, et al.
Published: (2025)
Trustless Federated Learning at Edge-Scale: A Compositional Architecture for Decentralized, Verifiable, and Incentive-Aligned Coordination
by: Onobhayedo, Pius, et al.
Published: (2025)
by: Onobhayedo, Pius, et al.
Published: (2025)
Unlearning during Learning: An Efficient Federated Machine Unlearning Method
by: Gu, Hanlin, et al.
Published: (2024)
by: Gu, Hanlin, et al.
Published: (2024)
Efficient Federated Unlearning under Plausible Deniability
by: Varshney, Ayush K., et al.
Published: (2024)
by: Varshney, Ayush K., et al.
Published: (2024)
Similar Items
-
SwinTextUNet: Integrating CLIP-Based Text Guidance into Swin Transformer U-Nets for Medical Image Segmentation
by: Yeafi, Ashfak, et al.
Published: (2026) -
Efficient Verified Machine Unlearning For Distillation
by: Quan, Yijun, et al.
Published: (2025) -
Verifiable Unlearning on Edge
by: Maheri, Mohammad M, et al.
Published: (2025) -
Verifiable and Provably Secure Machine Unlearning
by: Eisenhofer, Thorsten, et al.
Published: (2022) -
Verifying Machine Unlearning with Explainable AI
by: Vidal, Àlex Pujol, et al.
Published: (2024)