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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
Image Corruption-Inspired Membership Inference Attacks against Large Vision-Language Models
EACL 2026
RFNNS: Robust Fixed Neural Network Steganography with Universal Text-to-Image Models
AAAI 2026
ROVER: Robust Generative Continual Identity Unlearning Against Relearning Attacks
AAAI 2026
MTAttack: Multi-Target Backdoor Attacks Against Large Vision-Language Models
AAAI 2026
Unnoticed Yet Effective: A Hybrid Physical Camouflage Framework Against DNNs and Human Perception
AAAI 2026
Reverse Personalization
WACV 2026
Mitigating Backdoor Attacks via Trigger Reconstruction and Model Hardening
WACV 2026
GFT-GCN: Privacy-Preserving 3D Face Mesh Recognition with Spectral Diffusion
WACV 2026
M-ErasureBench: A Comprehensive Multimodal Evaluation Benchmark for Concept Erasure in Diffusion Models
WACV 2026
Personalized Image Privacy Advisors via Federated Daisy-Chaining
WACV 2026
Leveraging Sparsity for Privacy in Collaborative Inference
WACV 2026
Marshaled Learning: Bridging Large Neural Networks with Memory-Constrained Trusted Execution Environments in Federated Learning
WACV 2026
BAFLE-DCT: Bypassing Adversarial Filters via Frequency-Selective Embedding in the DCT Domain
WACV 2026
Federated Model Synchronization for Diagnostic Redefinition through a Novel Selective Parameter Unlearning
WACV 2026
NRGMark: Localized Watermarking for Energy Transparency in Images
WACV 2026
Multilingual Amnesia: On the Transferability of Unlearning in Multilingual LLMs
EACL 2026
Neural Breadcrumbs: Membership Inference Attacks on LLMs Through Hidden State and Attention Pattern Analysis
EACL 2026
When Flores Bloomz Wrong: Cross-Direction Contamination in Machine Translation Evaluation
EACL 2026
FiMMIA: scaling semantic perturbation-based membership inference across modalities
EACL 2026
Continual Pretraining on Encrypted Synthetic Data for Privacy-Preserving LLMs
EACL 2026
Personal Information Parroting in Language Models
EACL 2026
LitE-SQL: A Lightweight and Efficient Text-to-SQL Framework with Vector-based Schema Linking and Execution-Guided Self-Correction
EACL 2026
Marking Code Without Breaking It: Code Watermarking for Detecting LLM-Generated Code
EACL 2026
PATCH: Mitigating PII Leakage in Language Models with Privacy-Aware Targeted Circuit PatcHing
EACL 2026
Privacy Auditing of Multi-Domain Graph Pre-Trained Model Under Membership Inference Attacks
AAAI 2026
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