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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
DeepTracer: Tracing Stolen Model via Deep Coupled Watermarks
AAAI 2026
Forgetting Knowledge Localization and Isolation for Continual Forgetting of Pre-trained Vision Models
AAAI 2026
Divide, Conquer and Unite: Hierarchical Style-Recalibrated Prototype Alignment for Federated Medical Segmentation
AAAI 2026
Equilibrium-Driven Vertical Federated Learning with Selective Privacy Protection
AAAI 2026
Your Prompts Are Not Safe: Output-Free Membership Inference via Prompt Vectors in Vision-Language Tuning
AAAI 2026
Efficient, Secure, Differentially Private Deep Learning in the Two-Server Model
AAAI 2026
GeoShield: Safeguarding Geolocation Privacy from Vision-Language Models via Adversarial Perturbations
AAAI 2026
MartDE: A Privacy-Preserving and Cost-Efficient Evaluation Framework for Data Marketplaces
AAAI 2026
BeDKD: Backdoor Defense Based on Directional Mapping Module and Adversarial Knowledge Distillation
AAAI 2026
CL-Guard: Defending DNNs Against Backdoors via Fine-Grained Neuron Analysis and Collaborative Dual-Network Learning
AAAI 2026
Fair Graph Learning with Limited Sensitive Attribute Information
AAAI 2026
Speaker Anonymization for Children's Oral Reading Assessment
AAAI 2026
Exploring the Janus Face of Synthetic Images: From Privacy-secure Biometrics to Universal and Robust Deepfake Detection
AAAI 2026
Optimisation Problems in Constrained Machine Learning
AAAI 2026
Uncovering Pretraining Code in LLMs: A Syntax-Aware Attribution Approach
AAAI 2026
An LLM-based Quantitative Framework for Evaluating High-Stealthy Backdoor Risks in OSS Supply Chains
AAAI 2026
Reconstruction Attack-Resistant Inference Paradigm for LLM Cloud Services
AAAI 2026
Membership Inference Attack Against Large Language Model-Based Recommendation Systems: A New Distillation-Based Paradigm
AAAI 2026
Anti-adversarial Learning: Desensitizing Prompts for Large Language Model
AAAI 2026
Perturb Your Data: Paraphrase-Guided Training Data Watermarking
AAAI 2026
Ghost in the Transformer: Detecting Model Reuse with Invariant Spectral Signatures
AAAI 2026
PrivSV: Differentially Private Steering Vector for Large Language Models
AAAI 2026
Steering Representations, Safeguarding Privacy: A Cross-Modal Privacy Protection Method for Generative AI
AAAI 2026
Collaborative LLM Numerical Reasoning with Local Data Protection
AAAI 2026
ARGH-Mark: Anchor-Synchronized Watermarking with Hamming Correction for Robust and Quality-Preserving LLM Attribution
AAAI 2026
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