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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
Dual-View Inference Attack: Machine Unlearning Amplifies Privacy Exposure
AAAI 2026
PeriUn: Enhancing Unlearning by Selectively Forgetting Peripheral Samples
AAAI 2026
Privacy Auditing of Multi-Domain Graph Pre-Trained Model Under Membership Inference Attacks
AAAI 2026
Plug-and-Play Parameter-Efficient Tuning of Embeddings for Federated Recommendation
AAAI 2026
TabGeoFlow: A Geometric Flow Matching Model for Tabular Data Synthesis
AAAI 2026
Robust Watermarking on Gradient Boosting Decision Trees
AAAI 2026
Forget What Has Seen: Selective Concept Unlearning in Segmentation Foundation Models
AAAI 2026
Rethinking Membership Inference Attacks for CLIP
AAAI 2026
OPTION: An Online Pricing Strategy for Asynchronous Federated Learning Against Free-Riding Attacks
AAAI 2026
On the Misalignment Between Data Learnability and Forgettability in Machine Unlearning
AAAI 2026
Retaliatory Attacks Against Federated Unlearning via Data Leakage
AAAI 2026
Injection, Attack and Erasure: Revocable Backdoor Attacks via Machine Unlearning
AAAI 2026
FedShard: Federated Unlearning with Efficiency Fairness and Performance Fairness
AAAI 2026
REMISVFU: Vertical Federated Unlearning via Representation Misdirection for Intermediate Output Feature
AAAI 2026
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
PRISM: Privacy-Aware Routing for Adaptive Cloud–Edge LLM Inference via Semantic Sketch Collaboration
AAAI 2026
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