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Privacy
490 directly classified papers
Papers per year
2011: 2
2012: 1
2016: 4
2017: 2
2018: 6
2019: 16
2020: 22
2021: 31
2022: 54
2023: 57
2024: 121
2025: 161
2026: 13
Papers
Quantifying Association Capabilities of Large Language Models and Its Implications on Privacy Leakage
EACL 2024
Disguise without Disruption: Utility-Preserving Face De-identification
AAAI 2024
StegaStyleGAN: Towards Generic and Practical Generative Image Steganography
AAAI 2024
Resource Efficient Deep Learning Hardware Watermarks with Signature Alignment
AAAI 2024
Fostering Trustworthiness in Machine Learning Algorithms
AAAI 2024
Deconstructing Classifiers: Towards A Data Reconstruction Attack Against Text Classification Models
ACL 2024
Improving Authorship Privacy: Adaptive Obfuscation with the Dynamic Selection of Techniques
ACL 2024
GradSafe: Detecting Jailbreak Prompts for LLMs via Safety-Critical Gradient Analysis
ACL 2024
Exploring Memorization in Fine-tuned Language Models
ACL 2024
Who Wrote this Code? Watermarking for Code Generation
ACL 2024
GumbelSoft: Diversified Language Model Watermarking via the GumbelMax-trick
ACL 2024
Stealthy Attack on Large Language Model based Recommendation
ACL 2024
Unlearning Traces the Influential Training Data of Language Models
ACL 2024
Authorship Obfuscation in Multilingual Machine-Generated Text Detection
EMNLP 2024
Private prediction for large-scale synthetic text generation
EMNLP 2024
Can LLMs get help from other LLMs without revealing private information?
ACL 2024
Protecting Privacy in Classifiers by Token Manipulation
ACL 2024
TRAP: Targeted Random Adversarial Prompt Honeypot for Black-Box Identification
ACL 2024
Watermarking for Large Language Models
ACL 2024
PostMark: A Robust Blackbox Watermark for Large Language Models
EMNLP 2024
Measuring the Privacy Leakage via Graph Reconstruction Attacks on Simplicial Neural Networks (Student Abstract)
AAAI 2023
Two-Stage Voice Anonymization for Enhanced Privacy
INTERSPEECH 2023
Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting
ICML 2023
Online Local Differential Private Quantile Inference via Self-normalization
ICML 2023
Algorithms for bounding contribution for histogram estimation under user-level privacy
ICML 2023
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