Recoverable Anonymization for Pose Estimation: A Privacy-Enhancing Approach
Fuente:
arXiv
Saved in:
| Main Authors: | Huang, Wenjun, Ni, Yang, Rezvani, Arghavan, Jeong, SungHeon, Chen, Hanning, Liu, Yezi, Wen, Fei, Imani, Mohsen |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
VLTP: Vision-Language Guided Token Pruning for Task-Oriented Segmentation
by: Chen, Hanning, et al.
Published: (2024)
by: Chen, Hanning, et al.
Published: (2024)
PacketCLIP: Multi-Modal Embedding of Network Traffic and Language for Cybersecurity Reasoning
by: Masukawa, Ryozo, et al.
Published: (2025)
by: Masukawa, Ryozo, et al.
Published: (2025)
Hyperdimensional Intelligent Sensing for Efficient Real-Time Audio Processing on Extreme Edge
by: Yun, Sanggeon, et al.
Published: (2025)
by: Yun, Sanggeon, et al.
Published: (2025)
Privacy-Preserving Federated Learning with Differentially Private Hyperdimensional Computing
by: Piran, Fardin Jalil, et al.
Published: (2024)
by: Piran, Fardin Jalil, et al.
Published: (2024)
Fair Context Learning for Evidence-Balanced Test-Time Adaptation in Vision-Language Models
by: Yun, Sanggeon, et al.
Published: (2026)
by: Yun, Sanggeon, et al.
Published: (2026)
Security and Privacy Enhancing in Blockchain-based IoT Environments via Anonym Auditing
by: Khordadpour, Peyman, et al.
Published: (2024)
by: Khordadpour, Peyman, et al.
Published: (2024)
Not All Entities are Created Equal: A Dynamic Anonymization Framework for Privacy-Preserving RAG
by: Zhu, Xinyuan, et al.
Published: (2026)
by: Zhu, Xinyuan, et al.
Published: (2026)
AlertStar: Path-Aware Alert Prediction on Hyper-Relational Knowledge Graphs
by: Nayeri, Zahra Makki, et al.
Published: (2026)
by: Nayeri, Zahra Makki, et al.
Published: (2026)
LADSG: Label-Anonymized Distillation and Similar Gradient Substitution for Label Privacy in Vertical Federated Learning
by: Yan, Zeyu, et al.
Published: (2025)
by: Yan, Zeyu, et al.
Published: (2025)
Exposing Privacy Risks in Anonymizing Clinical Data: Combinatorial Refinement Attacks on k-Anonymity Without Auxiliary Information
by: Chhillar, Somiya, et al.
Published: (2025)
by: Chhillar, Somiya, et al.
Published: (2025)
Human-Centered Interactive Anonymization for Privacy-Preserving Machine Learning: A Case for Human-Guided k-Anonymity
by: Gajavalli, Sri Harsha
Published: (2025)
by: Gajavalli, Sri Harsha
Published: (2025)
LinkDID: A Privacy-Preserving, Sybil-Resistant and Key-Recoverable Decentralized Identity Scheme
by: Song, Rui
Published: (2023)
by: Song, Rui
Published: (2023)
Explainable Differential Privacy-Hyperdimensional Computing for Balancing Privacy and Transparency in Additive Manufacturing Monitoring
by: Piran, Fardin Jalil, et al.
Published: (2024)
by: Piran, Fardin Jalil, et al.
Published: (2024)
Privacy Analysis and Evaluation Policy of Blockchain-based Anonymous Cryptocurrencies
by: Miyamae, Takeshi, et al.
Published: (2020)
by: Miyamae, Takeshi, et al.
Published: (2020)
SLAP: Secure Location-proof and Anonymous Privacy-preserving Spectrum Access
by: Darzi, Saleh, et al.
Published: (2025)
by: Darzi, Saleh, et al.
Published: (2025)
DUEF-GA: Data Utility and Privacy Evaluation Framework for Graph Anonymization
by: Casas-Roma, Jordi
Published: (2025)
by: Casas-Roma, Jordi
Published: (2025)
Anonymous YARA Rules Are Not Anonymous
by: Isah, Usman Rabiu, et al.
Published: (2026)
by: Isah, Usman Rabiu, et al.
Published: (2026)
FedCAPrivacy: Privacy-Preserving Heterogeneous Federated Learning with Anonymous Adaptive Clustering
by: Wei, Yunan, et al.
Published: (2025)
by: Wei, Yunan, et al.
Published: (2025)
SeDe: Balancing Blockchain Privacy and Regulatory Compliance by Selective De-Anonymization
by: Chaudhary, Amit, et al.
Published: (2023)
by: Chaudhary, Amit, et al.
Published: (2023)
Enhanced Anonymous Credentials for E-Voting Systems
by: Truderung, Tomasz
Published: (2025)
by: Truderung, Tomasz
Published: (2025)
Guarding Multiple Secrets: Enhanced Summary Statistic Privacy for Data Sharing
by: Wang, Shuaiqi, et al.
Published: (2024)
by: Wang, Shuaiqi, et al.
Published: (2024)
You Only Anonymize What Is Not Intent-Relevant: Suppressing Non-Intent Privacy Evidence
by: Shen, Weihao, et al.
Published: (2026)
by: Shen, Weihao, et al.
Published: (2026)
The Illusion of Anonymity: Uncovering the Impact of User Actions on Privacy in Web3 Social Ecosystems
by: Wang, Bin, et al.
Published: (2024)
by: Wang, Bin, et al.
Published: (2024)
A Plug-in Tiny AI Module for Intelligent and Selective Sensor Data Transmission
by: Huang, Wenjun, et al.
Published: (2024)
by: Huang, Wenjun, et al.
Published: (2024)
Membership Reference Attack against Laplace Mechanism of Differential Privacy
by: Huang, Wen
Published: (2024)
by: Huang, Wen
Published: (2024)
A False Sense of Privacy: Towards a Reliable Evaluation Methodology for the Anonymization of Biometric Data
by: Hanisch, Simon, et al.
Published: (2023)
by: Hanisch, Simon, et al.
Published: (2023)
Multi-user Pufferfish Privacy
by: Ding, Ni, et al.
Published: (2025)
by: Ding, Ni, et al.
Published: (2025)
Privacy-Preserving Decentralized Federated Learning via Explainable Adaptive Differential Privacy
by: Piran, Fardin Jalil, et al.
Published: (2025)
by: Piran, Fardin Jalil, et al.
Published: (2025)
Privacy-Preserving Anonymization of System and Network Event Logs Using Salt-Based Hashing and Temporal Noise
by: Bargale, Shreyas, et al.
Published: (2025)
by: Bargale, Shreyas, et al.
Published: (2025)
Towards a decentralized data privacy protocol for self-sovereignty in the digital world
by: Falcão, Rodrigo, et al.
Published: (2024)
by: Falcão, Rodrigo, et al.
Published: (2024)
Privacy Preserving Machine Learning Workflow: from Anonymization to Personalized Differential Privacy Budgets in Federated Learning
by: Díaz, Judith Sáinz-Pardo, et al.
Published: (2026)
by: Díaz, Judith Sáinz-Pardo, et al.
Published: (2026)
OFL: Opportunistic Federated Learning for Resource-Heterogeneous and Privacy-Aware Devices
by: Mao, Yunlong, et al.
Published: (2025)
by: Mao, Yunlong, et al.
Published: (2025)
Siren Song: Manipulating Pose Estimation in XR Headsets Using Acoustic Attacks
by: Huang, Zijian, et al.
Published: (2025)
by: Huang, Zijian, et al.
Published: (2025)
Towards Flexible Anonymous Networks
by: Rochet, Florentin, et al.
Published: (2022)
by: Rochet, Florentin, et al.
Published: (2022)
Recover-to-Forget: Gradient Reconstruction from LoRA for Efficient LLM Unlearning
by: Liu, Yezi, et al.
Published: (2025)
by: Liu, Yezi, et al.
Published: (2025)
LUNE: Efficient LLM Unlearning via LoRA Fine-Tuning with Negative Examples
by: Liu, Yezi, et al.
Published: (2025)
by: Liu, Yezi, et al.
Published: (2025)
Cauchy-Schwarz Fairness Regularizer
by: Liu, Yezi, et al.
Published: (2025)
by: Liu, Yezi, et al.
Published: (2025)
Anonymity-washing
by: Lestyán, Szivia, et al.
Published: (2025)
by: Lestyán, Szivia, et al.
Published: (2025)
Robust Single-message Shuffle Differential Privacy Protocol for Accurate Distribution Estimation
by: Li, Xiaoguang, et al.
Published: (2026)
by: Li, Xiaoguang, et al.
Published: (2026)
LLM Anonymization Against Agentic Re-Identification
by: Li, Ziwen, et al.
Published: (2026)
by: Li, Ziwen, et al.
Published: (2026)
Similar Items
-
VLTP: Vision-Language Guided Token Pruning for Task-Oriented Segmentation
by: Chen, Hanning, et al.
Published: (2024) -
PacketCLIP: Multi-Modal Embedding of Network Traffic and Language for Cybersecurity Reasoning
by: Masukawa, Ryozo, et al.
Published: (2025) -
Hyperdimensional Intelligent Sensing for Efficient Real-Time Audio Processing on Extreme Edge
by: Yun, Sanggeon, et al.
Published: (2025) -
Privacy-Preserving Federated Learning with Differentially Private Hyperdimensional Computing
by: Piran, Fardin Jalil, et al.
Published: (2024) -
Fair Context Learning for Evidence-Balanced Test-Time Adaptation in Vision-Language Models
by: Yun, Sanggeon, et al.
Published: (2026)