:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Yao, Kai, Tan, Zhaorui, Ye, Tiandi, Li, Lichun, Zhao, Yuan, Liu, Wenyan, Wang, Wei, Zhu, Jianke
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Cryptography and Security
Online Access:	https://arxiv.org/abs/2412.09812
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

GradOT: Training-free Gradient-preserving Offsite-tuning for Large Language Models
by: Yao, Kai, et al.
Published: (2025)

ObfuscaTune: Obfuscated Offsite Fine-tuning and Inference of Proprietary LLMs on Private Datasets
by: Frikha, Ahmed, et al.
Published: (2024)

The Communication-Friendly Privacy-Preserving Machine Learning against Malicious Adversaries
by: Lu, Tianpei, et al.
Published: (2024)

You Can Backdoor Personalized Federated Learning
by: Ye, Tiandi, et al.
Published: (2023)

Cybersecurity AI in OT: Insights from an AI Top-10 Ranker in the Dragos OT CTF 2025
by: Mayoral-Vilches, Víctor, et al.
Published: (2025)

I Can't Patch My OT Systems! A Look at CISA's KEVC Workarounds & Mitigations for OT
by: Huff, Philip, et al.
Published: (2025)

Privacy-Preserving Inference for Quantized BERT Models
by: Lu, Tianpei, et al.
Published: (2025)

VIRGOS: Secure Graph Convolutional Network on Vertically Split Data from Sparse Matrix Decomposition
by: Zheng, Yu, et al.
Published: (2025)

VMask: Tunable Label Privacy Protection for Vertical Federated Learning via Layer Masking
by: Tan, Juntao, et al.
Published: (2025)

Cyber security of OT networks: A tutorial and overview
by: Kapoor, Sarthak, et al.
Published: (2025)

PrivDPR: Synthetic Graph Publishing with Deep PageRank under Differential Privacy
by: Zhang, Sen, et al.
Published: (2025)

Unraveling Privacy Threat Modeling Complexity: Conceptual Privacy Analysis Layers
by: Wuyts, Kim, et al.
Published: (2024)

Poisoning Attacks to Local Differential Privacy for Ranking Estimation
by: Zhan, Pei, et al.
Published: (2025)

Layered, Overlapping, and Inconsistent: A Large-Scale Analysis of the Multiple Privacy Policies and Controls of U.S. Banks
by: Xian, Lu, et al.
Published: (2025)

Data Poisoning Attacks to Local Differential Privacy Protocols for Graphs
by: He, Xi, et al.
Published: (2024)

Multi-class Item Mining under Local Differential Privacy
by: Mao, Yulian, et al.
Published: (2025)

I-(OT)^2: A Client-optimal Oblivious Transfer Protocol for IoT Devices
by: Onofri, Elia, et al.
Published: (2026)

Local Layer-wise Differential Privacy in Federated Learning
by: Li, Yunbo, et al.
Published: (2026)

PrivShape: Extracting Shapes in Time Series under User-Level Local Differential Privacy
by: Mao, Yulian, et al.
Published: (2024)

Crypto-ncRNA: a bio-inspired post-quantum cryptographic primitive exploiting RNA folding complexity
by: Wang, Xu, et al.
Published: (2025)

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

LADSG: Label-Anonymized Distillation and Similar Gradient Substitution for Label Privacy in Vertical Federated Learning
by: Yan, Zeyu, et al.
Published: (2025)

Natural Language based Specification and Verification
by: Li, Zhaorui, et al.
Published: (2026)

Efficient Byzantine-Robust Privacy-Preserving Federated Learning via Dimension Compression
by: Qin, Xian, et al.
Published: (2025)

LLM-Powered Analysis of IoT User Reviews: Tracking and Ranking Security and Privacy Concerns
by: Protick, Taufiq Islam, et al.
Published: (2026)

Privacy for Free: Leveraging Local Differential Privacy Perturbed Data from Multiple Services
by: Du, Rong, et al.
Published: (2025)

Privacy-Preserving CNN Training with Transfer Learning: Two Hidden Layers
by: Chiang, John
Published: (2025)

Bridging Privacy and Utility: Synthesizing anonymized EEG with constraining utility functions
by: Fuhrmeister, Kay, et al.
Published: (2025)

PriFFT: Privacy-preserving Federated Fine-tuning of Large Language Models via Hybrid Secret Sharing
by: You, Zhichao, et al.
Published: (2025)

Navigating the Designs of Privacy-Preserving Fine-tuning for Large Language Models
by: Shi, Haonan, et al.
Published: (2025)

Supersonic OT: Fast Unconditionally Secure Oblivious Transfer
by: Abadi, Aydin, et al.
Published: (2024)

Selective Pre-training for Private Fine-tuning
by: Yu, Da, et al.
Published: (2023)

Replacing CAPTCHA with XNO micropayments
by: Tiruvayipati, Sujanavan
Published: (2024)

CachePrune: Privacy-Aware and Fine-Grained KV Cache Sharing for Efficient LLM Inference
by: Wu, Guanlong, et al.
Published: (2026)

FedSurrogate: Backdoor Defense in Federated Learning via Layer Criticality and Surrogate Replacement
by: Abacha, Fatima Z., et al.
Published: (2026)

Comment on "An Efficient Privacy-Preserving Ranked Multi-Keyword Retrieval for Multiple Data Owners in Outsourced Cloud"
by: Varri, Uma Sankararao
Published: (2024)

Privacy Profiles for Private Selection
by: Koskela, Antti, et al.
Published: (2024)

A proposal to increase data utility on Global Differential Privacy data based on data use predictions
by: Nunes, Henry C., et al.
Published: (2024)

A General Pseudonymization Framework for Cloud-Based LLMs: Replacing Privacy Information in Controlled Text Generation
by: Hou, Shilong, et al.
Published: (2025)

APIOT: Autonomous Vulnerability Management Across Bare-Metal Industrial OT Networks
by: ElZemity, Adel, et al.
Published: (2026)