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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
Facial Identity Anonymization via Intrinsic and Extrinsic Attention Distraction
CVPR 2024
Learnable Privacy Neurons Localization in Language Models
ACL 2024
Certified Robustness for Deep Equilibrium Models via Serialized Random Smoothing
NIPS 2024
Backdoor Defense via Test-Time Detecting and Repairing
CVPR 2024
The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)
ACL 2024
Protecting Privacy in Classifiers by Token Manipulation
ACL 2024
Steganographic Passport: An Owner and User Verifiable Credential for Deep Model IP Protection Without Retraining
CVPR 2024
CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient Inversion
CVPR 2024
LR-XFL: Logical Reasoning-Based Explainable Federated Learning
AAAI 2024
A Unified Characterization of Private Learnability via Graph Theory
COLT 2024
Open Problem: What is the Complexity of Joint Differential Privacy in Linear Contextual Bandits?
COLT 2024
Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline
CVPR 2024
Invisible Image Watermarks Are Provably Removable Using Generative AI
NIPS 2024
Countering Personalized Text-to-Image Generation with Influence Watermarks
CVPR 2024
Preset-Voice Matching for Privacy Regulated Speech-to-Speech Translation Systems
ACL 2024
Open Problem: Optimal Rates for Stochastic Decision-Theoretic Online Learning Under Differentially Privacy
COLT 2024
A Collocation-based Method for Addressing Challenges in Word-level Metric Differential Privacy
ACL 2024
On Convex Optimization with Semi-Sensitive Features
COLT 2024
A Robust Semantics-based Watermark for Large Language Model against Paraphrasing
NAACL 2024
Mirror Descent Algorithms with Nearly Dimension-Independent Rates for Differentially-Private Stochastic Saddle-Point Problems extended abstract
COLT 2024
Some Constructions of Private, Efficient, and Optimal $K$-Norm and Elliptic Gaussian Noise
COLT 2024
Fooling the Textual Fooler via Randomizing Latent Representations
ACL 2024
Can Simple Averaging Defeat Modern Watermarks?
NIPS 2024
Lower Bounds for Differential Privacy Under Continual Observation and Online Threshold Queries
COLT 2024
Chronic Poisoning: Backdoor Attack against Split Learning
AAAI 2024
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