Social aspects · privacy papers, 2023–2026
Social aspect: privacy
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 431 papers are tagged with this topic.
Key findings
- Social aspects · privacy went from 21 papers in 2023 to 138 in 2026, roughly 6.6x in three years.
- NeurIPS publishes the most Social aspects · privacy work: 215 papers from 2023 to 2026, 50% of the four-venue total.
- The fastest-growing overlap is with Social aspects · accountability transparency and interpretability: papers tagged with both rose from 0 in 2023 to 93 in 2026.
- Among the 5 topics under Alignment and Responsible AI, it ranks #4 by 2026 paper count; the fastest grower in the group, Social aspects · safety, is up 93x versus 6.6x here.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 4 | 5 | 7 | 5 | 21 |
| 2024 | 87 | 11 | 13 | 6 | 117 |
| 2025 | 80 | 2 | 71 | 2 | 155 |
| 2026 | 44 | 2 | 90 | 2 | 138 |
Representative papers
Spread across years and venues so every edition shows up
- 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
All Social aspects · privacy papers
215 papers, page 5 of 5
- NeurIPS 2024Scalable DP-SGD: Shuffling vs. Poisson Subsampling
- NeurIPS 2024Single Image Unlearning: Efficient Machine Unlearning in Multimodal Large Language Models
- NeurIPS 2024SPEAR: Exact Gradient Inversion of Batches in Federated Learning
- NeurIPS 2024SuperDeepFool: a new fast and accurate minimal adversarial attack
- NeurIPS 2024The Limits of Differential Privacy in Online Learning
- NeurIPS 2024Trap-MID: Trapdoor-based Defense against Model Inversion Attacks
- NeurIPS 2024Truthful High Dimensional Sparse Linear Regression
- NeurIPS 2024Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement
- NeurIPS 2024Unified Mechanism-Specific Amplification by Subsampling and Group Privacy Amplification
- NeurIPS 2024United We Stand, Divided We Fall: Fingerprinting Deep Neural Networks via Adversarial Trajectories
- NeurIPS 2024Universal Exact Compression of Differentially Private Mechanisms
- NeurIPS 2023Counting Distinct Elements Under Person-Level Differential Privacy
- NeurIPS 2023Faster approximate subgraph counts with privacy
- NeurIPS 2023k-Median Clustering via Metric Embedding: Towards Better Initialization with Differential Privacy
- NeurIPS 2023Optimal Unbiased Randomizers for Regression with Label Differential Privacy
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FAQ
- How many Social aspects · privacy papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?
- 431 in total: 21 in 2023, 117 in 2024, 155 in 2025, 138 in 2026.
- How many Social aspects · privacy papers are at NeurIPS 2026?
- NeurIPS 2026 has 44 Social aspects · privacy papers, versus 80 the year before.
- How many Social aspects · privacy papers are at ICLR 2026?
- ICLR 2026 has 2 Social aspects · privacy papers, versus 2 the year before.
- How many Social aspects · privacy papers are at ICML 2026?
- ICML 2026 has 90 Social aspects · privacy papers, versus 71 the year before.
- How many Social aspects · privacy papers are at CVPR 2026?
- CVPR 2026 has 2 Social aspects · privacy papers, versus 2 the year before.
- Which conference publishes the most Social aspects · privacy papers?
- NeurIPS, with 215 papers from 2023 to 2026.