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Privacy
2794 directly classified papers
Papers per year
2006: 1
2007: 2
2008: 1
2011: 2
2012: 7
2013: 10
2014: 7
2015: 18
2016: 23
2017: 40
2018: 65
2019: 133
2020: 167
2021: 289
2022: 342
2023: 484
2024: 502
2025: 522
2026: 179
Papers
Waterfall: Scalable Framework for Robust Text Watermarking and Provenance for LLMs
EMNLP 2024
ReCaLL: Membership Inference via Relative Conditional Log-Likelihoods
EMNLP 2024
Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion
EMNLP 2024
SilentCipher: Deep Audio Watermarking
INTERSPEECH 2024
Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning
EMNLP 2024
Personalized Pieces: Efficient Personalized Large Language Models through Collaborative Efforts
EMNLP 2024
Thinking Outside of the Differential Privacy Box: A Case Study in Text Privatization with Language Model Prompting
EMNLP 2024
Safely Learning with Private Data: A Federated Learning Framework for Large Language Model
EMNLP 2024
How Private is Low-Frequency Speech Audio in the Wild? An Analysis of Verbal Intelligibility by Humans and Machines
INTERSPEECH 2024
Differentially Private Knowledge Distillation via Synthetic Text Generation
ACL 2024
Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method
EMNLP 2024
Order of Magnitude Speedups for LLM Membership Inference
EMNLP 2024
Vision-Language Models are Strong Noisy Label Detectors
NIPS 2024
Fooling the Textual Fooler via Randomizing Latent Representations
ACL 2024
Dissecting Fine-Tuning Unlearning in Large Language Models
EMNLP 2024
GoldCoin: Grounding Large Language Models in Privacy Laws via Contextual Integrity Theory
EMNLP 2024
An Inversion Attack Against Obfuscated Embedding Matrix in Language Model Inference
EMNLP 2024
Glue pizza and eat rocks - Exploiting Vulnerabilities in Retrieval-Augmented Generative Models
EMNLP 2024
Auditing Privacy Mechanisms via Label Inference Attacks
NIPS 2024
Evaluating the Instruction-Following Robustness of Large Language Models to Prompt Injection
EMNLP 2024
On provable privacy vulnerabilities of graph representations
NIPS 2024
Prosody-Driven Privacy-Preserving Dementia Detection
INTERSPEECH 2024
PII-Compass: Guiding LLM training data extraction prompts towards the target PII via grounding
ACL 2024
Analyzing Multimodal Features of Spontaneous Voice Assistant Commands for Mild Cognitive Impairment Detection
INTERSPEECH 2024
A Privacy-preserving Approach to Ingest Knowledge from Proprietary Web-based to Locally Run Models for Medical Progress Note Generation
ACL 2024
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