隐私攻击论文趋势 2023–2026

成员推断等

统计范围:NeurIPS、ICLR、ICML、CVPR 四个会议,2023–2026 年,共 698 篇被归入该主题的论文。

主要结论

每年论文数

各会议论文数

按年份和会议统计

隐私攻击论文数,按年份和会议
年份NeurIPSICLRICMLCVPR合计
202346242925124
202463534222180
202545832918175
2026551023824219

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

全部隐私攻击论文

共 24 篇,第 1 / 1 页

  1. ICLR 2023A Statistical Framework for Personalized Federated Learning and Estimation: Theory, Algorithms, and Privacy
  2. ICLR 2023Adversarial Attacks on Adversarial Bandits
  3. ICLR 2023Canary in a Coalmine: Better Membership Inference with Ensembled Adversarial Queries
  4. ICLR 2023CANIFE: Crafting Canaries for Empirical Privacy Measurement in Federated Learning
  5. ICLR 2023Decepticons: Corrupted Transformers Breach Privacy in Federated Learning for Language Models
  6. ICLR 2023Differentially Private $L_2$-Heavy Hitters in the Sliding Window Model
  7. ICLR 2023Disparate Impact in Differential Privacy from Gradient Misalignment
  8. ICLR 2023Distributed Differential Privacy in Multi-Armed Bandits
  9. ICLR 2023Easy Differentially Private Linear Regression
  10. ICLR 2023Effective passive membership inference attacks in federated learning against overparameterized models
  11. ICLR 2023Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping
  12. ICLR 2023Extracting Robust Models with Uncertain Examples
  13. ICLR 2023Few-shot Backdoor Attacks via Neural Tangent Kernels
  14. ICLR 2023Incompatibility Clustering as a Defense Against Backdoor Poisoning Attacks
  15. ICLR 2023Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning
  16. ICLR 2023Individual Privacy Accounting with Gaussian Differential Privacy
  17. ICLR 2023Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples
  18. ICLR 2023Measuring Forgetting of Memorized Training Examples
  19. ICLR 2023MPCFORMER: FAST, PERFORMANT AND PRIVATE TRANSFORMER INFERENCE WITH MPC
  20. ICLR 2023Panning for Gold in Federated Learning: Targeted Text Extraction under Arbitrarily Large-Scale Aggregation
  21. ICLR 2023Quantifying Memorization Across Neural Language Models
  22. ICLR 2023Regression with Label Differential Privacy
  23. ICLR 2023Robust Multivariate Time-Series Forecasting: Adversarial Attacks and Defense Mechanisms
  24. ICLR 2023Share Your Representation Only: Guaranteed Improvement of the Privacy-Utility Tradeoff in Federated Learning

在 Claude、Cursor 里直接问这个趋势

接上 Paperlist MCP 后,写综述、挑方向或准备投稿时,不用离开对话框就能拿到这页的数字:每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文,AI 会按你的问题整理。

可以直接复制这句话问 AI

用 paperlist 查隐私攻击在 ICLR 2023–2026 的论文趋势,哪一年涨得最快?

AI 会调用的工具:get_topic_stats {"topic": "privacy-attacks"}

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常见问题

2023–2026 年四大会议一共有多少篇隐私攻击论文?
共 698 篇,按年份分别是 2023 年 124 篇、2024 年 180 篇、2025 年 175 篇、2026 年 219 篇。
NeurIPS 2026 有多少篇隐私攻击论文?
NeurIPS 2026 有 55 篇隐私攻击论文,上一届是 45 篇。
ICLR 2026 有多少篇隐私攻击论文?
ICLR 2026 有 102 篇隐私攻击论文,上一届是 83 篇。
ICML 2026 有多少篇隐私攻击论文?
ICML 2026 有 38 篇隐私攻击论文,上一届是 29 篇。
CVPR 2026 有多少篇隐私攻击论文?
CVPR 2026 有 24 篇隐私攻击论文,上一届是 18 篇。
哪个会议的隐私攻击论文最多?
ICLR,2023–2026 年共 262 篇。

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