社会层面 · privacy论文趋势 2023–2026

主要结论

• 社会层面 · privacy论文从 2023 年的 21 篇增长到 2026 年的 138 篇，三年间扩大到约 6.6 倍。
• NeurIPS 是发社会层面 · privacy论文最多的会议，2023–2026 年共 215 篇，占四个会议总量的 50%。
• 交叉方向里涨得最快的是社会层面 · accountability transparency and interpretability：同时属于两个主题的论文从 2023 年的 0 篇增至 2026 年的 93 篇。
• 在「对齐与负责任 AI」的 5 个主题里，它的 2026 年论文数排第 4；同组增长最快的社会层面 · safety是 93 倍，社会层面 · privacy是 6.6 倍。

代表论文

按年份和会议均匀挑选，方便快速看到每一届的样貌

• NeurIPS 2026Assessing Per-Sample Membership Inference Vulnerability without Retraining
• ICML 2026Accuracy-First Rényi Differential Privacy and Post-Processing Immunity
• ICLR 2026Mitigating Privacy Risk via Forget Set-Free Unlearning
• CVPR 2026Protego User-Centric Pose-Invariant Privacy Protection Against Face Recognition-Induced Digital Footprint
• NeurIPS 2025A Generalized Binary Tree Mechanism for Private Approximation of All-Pair Shortest Distances
• ICML 2025Breaking the $n^{1.5}$ Additive Error Barrier for Private and Efficient Graph Sparsification via Private Expander Decomposition
• ICLR 2025Machine Unlearning via Simulated Oracle Matching
• CVPR 2025Enhancing Facial Privacy Protection via Weakening Diffusion Purification
• NeurIPS 2024Adaptive Randomized Smoothing: Certified Adversarial Robustness for Multi-Step Defences
• ICML 2024Privacy Preserving Adaptive Experiment Design
• ICLR 2024Beyond Memorization: Violating Privacy via Inference with Large Language Models
• CVPR 2024Validating Privacy-Preserving Face Recognition under a Minimum Assumption
• NeurIPS 2023Faster approximate subgraph counts with privacy
• ICML 2023GuardHFL: Privacy Guardian for Heterogeneous Federated Learning
• ICLR 2023Decepticons: Corrupted Transformers Breach Privacy in Federated Learning for Language Models
• CVPR 2023Privacy-Preserving Representations Are Not Enough: Recovering Scene Content From Camera Poses
• NeurIPS 2026Asymmetric Invertible Threat: Learning Reversible Privacy Defense for Face Recognition
• ICML 2026Accurate, Private, Secure, Federated U-statistics with Higher Degree
• ICLR 2026Measuring Physical-World Privacy Awareness of Large Language Models: An Evaluation Benchmark
• CVPR 2026LDP-Slicing Local Differential Privacy for Images via Randomized Bit-Plane Slicing

全部社会层面 · privacy论文

共 431 篇，第 9 / 9 页

401. NeurIPS 2024Single Image Unlearning: Efficient Machine Unlearning in Multimodal Large Language Models
402. NeurIPS 2024SPEAR: Exact Gradient Inversion of Batches in Federated Learning
403. NeurIPS 2024SuperDeepFool: a new fast and accurate minimal adversarial attack
404. NeurIPS 2024The Limits of Differential Privacy in Online Learning
405. NeurIPS 2024Trap-MID: Trapdoor-based Defense against Model Inversion Attacks
406. NeurIPS 2024Truthful High Dimensional Sparse Linear Regression
407. NeurIPS 2024Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement
408. NeurIPS 2024Unified Mechanism-Specific Amplification by Subsampling and Group Privacy Amplification
409. NeurIPS 2024United We Stand, Divided We Fall: Fingerprinting Deep Neural Networks via Adversarial Trajectories
410. NeurIPS 2024Universal Exact Compression of Differentially Private Mechanisms
411. CVPR 2023DartBlur: Privacy Preservation With Detection Artifact Suppression
412. CVPR 2023Paired-Point Lifting for Enhanced Privacy-Preserving Visual Localization
413. CVPR 2023Privacy-Preserving Adversarial Facial Features
414. CVPR 2023Privacy-Preserving Representations Are Not Enough: Recovering Scene Content From Camera Poses
415. CVPR 2023SegLoc: Learning Segmentation-Based Representations for Privacy-Preserving Visual Localization
416. ICLR 2023CANIFE: Crafting Canaries for Empirical Privacy Measurement in Federated Learning
417. ICLR 2023Decepticons: Corrupted Transformers Breach Privacy in Federated Learning for Language Models
418. ICLR 2023Disparate Impact in Differential Privacy from Gradient Misalignment
419. ICLR 2023Regression with Label Differential Privacy
420. ICLR 2023Share Your Representation Only: Guaranteed Improvement of the Privacy-Utility Tradeoff in Federated Learning
421. ICML 2023Bayesian Estimation of Differential Privacy
422. ICML 2023Concurrent Shuffle Differential Privacy Under Continual Observation
423. ICML 2023GuardHFL: Privacy Guardian for Heterogeneous Federated Learning
424. ICML 2023HETAL: Efficient Privacy-preserving Transfer Learning with Homomorphic Encryption
425. ICML 2023Sketching Meets Differential Privacy: Fast Algorithm for Dynamic Kronecker Projection Maintenance
426. ICML 2023The Price of Differential Privacy under Continual Observation
427. ICML 2023The Saddle-Point Method in Differential Privacy
428. NeurIPS 2023Counting Distinct Elements Under Person-Level Differential Privacy
429. NeurIPS 2023Faster approximate subgraph counts with privacy
430. NeurIPS 2023k-Median Clustering via Metric Embedding: Towards Better Initialization with Differential Privacy
431. NeurIPS 2023Optimal Unbiased Randomizers for Regression with Label Differential Privacy

常见问题

2023–2026 年四大会议一共有多少篇社会层面 · privacy论文？

共 431 篇，按年份分别是 2023 年 21 篇、2024 年 117 篇、2025 年 155 篇、2026 年 138 篇。

NeurIPS 2026 有多少篇社会层面 · privacy论文？

NeurIPS 2026 有 44 篇社会层面 · privacy论文，上一届是 80 篇。

ICLR 2026 有多少篇社会层面 · privacy论文？

ICLR 2026 有 2 篇社会层面 · privacy论文，上一届是 2 篇。

ICML 2026 有多少篇社会层面 · privacy论文？

ICML 2026 有 90 篇社会层面 · privacy论文，上一届是 71 篇。

CVPR 2026 有多少篇社会层面 · privacy论文？

CVPR 2026 有 2 篇社会层面 · privacy论文，上一届是 2 篇。

哪个会议的社会层面 · privacy论文最多？

NeurIPS，2023–2026 年共 215 篇。