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Privacy

2794 directly classified papers

Papers per year

Papers

Data Anonymization for Privacy-Preserving Large Language Model Fine-Tuning on Call Transcripts EACL 2024
Data Mixture Inference Attack: BPE Tokenizers Reveal Training Data Compositions NIPS 2024
Protect Your Score: Contact-Tracing with Differential Privacy Guarantees AAAI 2024
Chronic Poisoning: Backdoor Attack against Split Learning AAAI 2024
Learnable Privacy Neurons Localization in Language Models ACL 2024
Detecting Personal Identifiable Information in Swedish Learner Essays EACL 2024
IPRemover: A Generative Model Inversion Attack against Deep Neural Network Fingerprinting and Watermarking AAAI 2024
On the Robustness of Neural-Enhanced Video Streaming against Adversarial Attacks AAAI 2024
Watermarking Conditional Text Generation for AI Detection: Unveiling Challenges and a Semantic-Aware Watermark Remedy AAAI 2024
MuST: Robust Image Watermarking for Multi-Source Tracing AAAI 2024
Confidence Is All You Need for MI Attacks (Student Abstract) AAAI 2024
Once and for All: Universal Transferable Adversarial Perturbation against Deep Hashing-Based Facial Image Retrieval AAAI 2024
Open LLMs are Necessary for Current Private Adaptations and Outperform their Closed Alternatives NIPS 2024
Data-Free Hard-Label Robustness Stealing Attack AAAI 2024
Layer Attack Unlearning: Fast and Accurate Machine Unlearning via Layer Level Attack and Knowledge Distillation AAAI 2024
Pre-training Differentially Private Models with Limited Public Data NIPS 2024
Debiasing Synthetic Data Generated by Deep Generative Models NIPS 2024
WaterMax: breaking the LLM watermark detectability-robustness-quality trade-off NIPS 2024
Learning to Unlearn: Instance-Wise Unlearning for Pre-trained Classifiers AAAI 2024
The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG) ACL 2024
SecureSpectra: Safeguarding Digital Identity from Deep Fake Threats via Intelligent Signatures INTERSPEECH 2024
Codecfake: An Initial Dataset for Detecting LLM-based Deepfake Audio INTERSPEECH 2024
Analysis of Pathological Speech – Pitfalls along the Way INTERSPEECH 2024
Asynchronous Voice Anonymization Using Adversarial Perturbation On Speaker Embedding INTERSPEECH 2024
Anonymising Elderly and Pathological Speech: Voice Conversion Using DDSP and Query-by-Example INTERSPEECH 2024