Privacy Attacks papers, 2023–2026

Key findings

• Privacy Attacks went from 124 papers in 2023 to 219 in 2026, roughly 1.8x in three years.
• ICLR publishes the most Privacy Attacks work: 262 papers from 2023 to 2026, 38% of the four-venue total.
• The fastest-growing overlap is with Alignment and Safety: papers tagged with both rose from 2 in 2023 to 80 in 2026.
• Among the 5 topics under Federated and Privacy, it ranks #1 by 2026 paper count; the fastest grower in the group, Secure Aggregation, is up 1.8x versus 1.8x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026A Private Empirical Defense Against Privacy Audits
• ICML 2026A Statistical Framework for Analyzing Specification Resistance to Learnware-Inversion Risks
• ICLR 2026(Token-Level) \textbf{InfoRMIA}: Stronger Membership Inference and Privacy Assessment for LLMs
• CVPR 2026Out of Sight Out of Track Adversarial Attacks on Propagation-based
• NeurIPS 2025A Reliable Cryptographic Framework for Empirical Machine Unlearning Evaluation
• ICML 2025A Certified Unlearning Approach without Access to Source Data
• ICLR 2025Adversarial Attacks on Data Attribution
• CVPR 2025Adv-CPG: A Customized Portrait Generation Framework with Facial Adversarial Attacks
• NeurIPS 2024Reproducibility Study on Adversarial Attacks Against Robust Transformer Trackers
• ICML 2024Collective Certified Robustness against Graph Injection Attacks
• ICLR 2024Be Careful What You Smooth For: Label Smoothing Can Be a Privacy Shield but Also a Catalyst for Model Inversion Attacks
• CVPR 2024Efficient Privacy-Preserving Visual Localization Using 3D Ray Clouds
• NeurIPS 2023Bounding the Invertibility of Privacy-preserving Instance Encoding using Fisher Information
• ICML 2023Data Poisoning Attacks Against Multimodal Encoders
• ICLR 2023Adversarial Attacks on Adversarial Bandits
• CVPR 2023Can't Steal? Cont-Steal! Contrastive Stealing Attacks Against Image Encoders
• NeurIPS 2026Adaptive Target-Charging with Privacy Filters and Individual Accounting
• ICML 2026How does Bayesian Sampling help Membership Inference Attacks?
• ICLR 2026Beyond Membership: Limitations of Add/Remove Adjacency in Differential Privacy
• CVPR 2026Revisiting Geometric Obfuscation with Dual Convergent Lines for Privacy-Preserving Image

All Privacy Attacks papers

175 papers, page 1 of 4

1. CVPR 2025Adv-CPG: A Customized Portrait Generation Framework with Facial Adversarial Attacks
2. CVPR 2025BadToken: Token-level Backdoor Attacks to Multi-modal Large Language Models
3. CVPR 2025Black-Box Forgery Attacks on Semantic Watermarks for Diffusion Models
4. CVPR 2025CDI: Copyrighted Data Identification in Diffusion Models
5. CVPR 2025Detecting Backdoor Attacks in Federated Learning via Direction Alignment Inspection
6. CVPR 2025Deterministic Certification of Graph Neural Networks against Graph Poisoning Attacks with Arbitrary Perturbations
7. CVPR 2025Enhancing Facial Privacy Protection via Weakening Diffusion Purification
8. CVPR 2025Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models
9. CVPR 2025FedMIA: An Effective Membership Inference Attack Exploiting "All for One" Principle in Federated Learning
10. CVPR 2025From Laboratory to Real World: A New Benchmark Towards Privacy-Preserved Visible-Infrared Person Re-Identification
11. CVPR 2025Gaussian Splatting Feature Fields for (Privacy-Preserving) Visual Localization
12. CVPR 2025Gradient Inversion Attacks on Parameter-Efficient Fine-Tuning
13. CVPR 2025Improving the Transferability of Adversarial Attacks on Face Recognition with Diverse Parameters Augmentation
14. CVPR 2025Improving Transferable Targeted Attacks with Feature Tuning Mixup
15. CVPR 2025Mind the Gap: Detecting Black-box Adversarial Attacks in the Making through Query Update Analysis
16. CVPR 2025Model Poisoning Attacks to Federated Learning via Multi-Round Consistency
17. CVPR 2025Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual Attacks
18. CVPR 2025Variance-Based Membership Inference Attacks Against Large-Scale Image Captioning Models
19. ICLR 2025$\sigma$-zero: Gradient-based Optimization of $\ell_0$-norm Adversarial Examples
20. ICLR 2025Activation Gradient based Poisoned Sample Detection Against Backdoor Attacks
21. ICLR 2025ADBM: Adversarial Diffusion Bridge Model for Reliable Adversarial Purification
22. ICLR 2025Adversarial Attacks on Data Attribution
23. ICLR 2025Adversarial Machine Unlearning
24. ICLR 2025Adversarial Training for Defense Against Label Poisoning Attacks
25. ICLR 2025An Engorgio Prompt Makes Large Language Model Babble on
26. ICLR 2025Bad-PFL: Exploiting Backdoor Attacks against Personalized Federated Learning
27. ICLR 2025Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity Dataset
28. ICLR 2025Beyond Mere Token Analysis: A Hypergraph Metric Space Framework for Defending Against Socially Engineered LLM Attacks
29. ICLR 2025BlueSuffix: Reinforced Blue Teaming for Vision-Language Models Against Jailbreak Attacks
30. ICLR 2025Boosting Ray Search Procedure of Hard-label Attacks with Transfer-based Priors
31. ICLR 2025Can a Large Language Model be a Gaslighter?
32. ICLR 2025Can Watermarked LLMs be Identified by Users via Crafted Prompts?
33. ICLR 2025Can We Trust Embodied Agents? Exploring Backdoor Attacks against Embodied LLM-Based Decision-Making Systems
34. ICLR 2025Certifying Language Model Robustness with Fuzzed Randomized Smoothing: An Efficient Defense Against Backdoor Attacks
35. ICLR 2025Convergent Privacy Loss of Noisy-SGD without Convexity and Smoothness
36. ICLR 2025CPSample: Classifier Protected Sampling for Guarding Training Data During Diffusion
37. ICLR 2025CREAM: Consistency Regularized Self-Rewarding Language Models
38. ICLR 2025DarkBench: Benchmarking Dark Patterns in Large Language Models
39. ICLR 2025Democratic Training Against Universal Adversarial Perturbations
40. ICLR 2025DocMIA: Document-Level Membership Inference Attacks against DocVQA Models
41. ICLR 2025Does Refusal Training in LLMs Generalize to the Past Tense?
42. ICLR 2025Does Training with Synthetic Data Truly Protect Privacy?
43. ICLR 2025EIA: ENVIRONMENTAL INJECTION ATTACK ON GENERALIST WEB AGENTS FOR PRIVACY LEAKAGE
44. ICLR 2025Endless Jailbreaks with Bijection Learning
45. ICLR 2025Enhancing Learning with Label Differential Privacy by Vector Approximation
46. ICLR 2025EvA: Erasing Spurious Correlations with Activations
47. ICLR 2025Exploring Local Memorization in Diffusion Models via Bright Ending Attention
48. ICLR 2025Fair Clustering in the Sliding Window Model
49. ICLR 2025Functional Homotopy: Smoothing Discrete Optimization via Continuous Parameters for LLM Jailbreak Attacks
50. ICLR 2025GPromptShield: Elevating Resilience in Graph Prompt Tuning Against Adversarial Attacks

FAQ

How many Privacy Attacks papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

698 in total: 124 in 2023, 180 in 2024, 175 in 2025, 219 in 2026.

How many Privacy Attacks papers are at NeurIPS 2026?

NeurIPS 2026 has 55 Privacy Attacks papers, versus 45 the year before.

How many Privacy Attacks papers are at ICLR 2026?

ICLR 2026 has 102 Privacy Attacks papers, versus 83 the year before.

How many Privacy Attacks papers are at ICML 2026?

ICML 2026 has 38 Privacy Attacks papers, versus 29 the year before.

How many Privacy Attacks papers are at CVPR 2026?

CVPR 2026 has 24 Privacy Attacks papers, versus 18 the year before.

Which conference publishes the most Privacy Attacks papers?

ICLR, with 262 papers from 2023 to 2026.