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Methodology
← Security & Privacy
Security & Privacy
›
Privacy
626 directly classified papers
Papers per year
2006: 1
2007: 2
2012: 1
2013: 2
2014: 1
2015: 1
2016: 5
2017: 3
2018: 16
2019: 12
2020: 30
2021: 53
2022: 72
2023: 85
2024: 137
2025: 203
2026: 2
Papers
Privacy-Preserving Optics for Enhancing Protection in Face De-Identification
CVPR 2024
Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline
CVPR 2024
MAP: MAsk-Pruning for Source-Free Model Intellectual Property Protection
CVPR 2024
Credit Attribution and Stable Compression
NIPS 2024
Edit Distance Robust Watermarks via Indexing Pseudorandom Codes
NIPS 2024
Be like a Goldfish, Don't Memorize! Mitigating Memorization in Generative LLMs
NIPS 2024
Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement
NIPS 2024
On the Benefits of Public Representations for Private Transfer Learning under Distribution Shift
NIPS 2024
Rethinking LLM Memorization through the Lens of Adversarial Compression
NIPS 2024
Black-Box Forgetting
NIPS 2024
The Limits of Differential Privacy in Online Learning
NIPS 2024
DAGER: Exact Gradient Inversion for Large Language Models
NIPS 2024
Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models
NIPS 2024
A Dual Stealthy Backdoor: From Both Spatial and Frequency Perspectives
AAAI 2024
FaceRSA: RSA-Aware Facial Identity Cryptography Framework
AAAI 2024
IPRemover: A Generative Model Inversion Attack against Deep Neural Network Fingerprinting and Watermarking
AAAI 2024
TraceEvader: Making DeepFakes More Untraceable via Evading the Forgery Model Attribution
AAAI 2024
EncryIP: A Practical Encryption-Based Framework for Model Intellectual Property Protection
AAAI 2024
Risk Management in Image Generative Models through Model Fingerprinting
AAAI 2024
Confidence Is All You Need for MI Attacks (Student Abstract)
AAAI 2024
The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)
ACL 2024
Automated Detection and Analysis of Data Practices Using A Real-World Corpus
ACL 2024
Mitigating Privacy Seesaw in Large Language Models: Augmented Privacy Neuron Editing via Activation Patching
ACL 2024
Noisy Neighbors: Efficient membership inference attacks against LLMs
ACL 2024
Don’t forget private retrieval: distributed private similarity search for large language models
ACL 2024
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