Privacy
717 papers
Papers per year
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5
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18
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32
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92
143
226
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Papers
TrustMark: Robust Watermarking and Watermark Removal for Arbitrary Resolution Images
ICCV 2025
TUNI: A Textual Unimodal Detector for Identity Inference in CLIP Models
NAACL 2025
Universal Backdoor Defense via Label Consistency in Vertical Federated Learning
IJCAI 2025
Unmasking Database Vulnerabilities: Zero-Knowledge Schema Inference Attacks in Text-to-SQL Systems
NAACL 2025
Variance-Based Membership Inference Attacks Against Large-Scale Image Captioning Models
CVPR 2025
VerA: Versatile Anonymization Applicable to Clinical Facial Photographs
WACV 2025
Visual Contextual Attack: Jailbreaking MLLMs with Image-Driven Context Injection
EMNLP 2025
VLA-Mark: A cross modal watermark for large vision-language alignment models
EMNLP 2025
Vulnerability of Large Language Models to Output Prefix Jailbreaks: Impact of Positions on Safety
NAACL 2025
VVRec: Reconstruction Attacks on DL-based Volumetric Video Upstreaming via Latent Diffusion Model with Gamma Distribution
AAAI 2025
WAKE: Watermarking Audio with Key Enrichment
Interspeech 2025
Watermarking Large Language Models: An Unbiased and Low-risk Method
ACL 2025
WET: Overcoming Paraphrasing Vulnerabilities in Embeddings-as-a-Service with Linear Transformation Watermarks
ACL 2025
When and Where do Data Poisons Attack Textual Inversion?
ICCV 2025
When GPT Spills the Tea: Comprehensive Assessment of Knowledge File Leakage in GPTs
ACL 2025
Where Does This Data Come From? Enhanced Source Inference Attacks in Federated Learning
IJCAI 2025
Who Controls the Authorization? Invertible Networks for Copyright Protection in Text-to-Image Synthesis
ICCV 2025
With Privacy, Size Matters: On the Importance of Dataset Size in Differentially Private Text Rewriting
IJCNLP 2025
You Are What You Say: Exploiting Linguistic Content for VoicePrivacy Attacks
Interspeech 2025
Zero-shot Federated Unlearning via Transforming from Data-Dependent to Personalized Model-Centric
IJCAI 2025
ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models
ICCV 2025
A Dual Stealthy Backdoor: From Both Spatial and Frequency Perspectives
AAAI 2024
A Learnable Discrete-Prior Fusion Autoencoder with Contrastive Learning for Tabular Data Synthesis
AAAI 2024
An Inversion Attack Against Obfuscated Embedding Matrix in Language Model Inference
EMNLP 2024
Assessing Authenticity and Anonymity of Synthetic User-generated Content in the Medical Domain
EACL 2024