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

219 papers, page 1 of 5

1. CVPR 2026AdvFM Lookahead Flow-Matching Velocity-Field Attacks for Imperceptible and Transferable Adversarial
2. CVPR 2026Black-box Membership Inference Attacks on the Pre-training Data of Image-generation
3. CVPR 2026Eliminate Distance Differences Induced by Backdoor Attacks Layer-Selective Training and
4. CVPR 2026FedMOP Achieving Enhanced Privacy and Performance in Federated Learning via
5. CVPR 2026FORCE Transferable Visual Jailbreaking Attacks via Feature Over-Reliance CorrEction
6. CVPR 2026Fractal Camouflage A Bio-Inspired Approach for Multi-Scale Adversarial Attacks in
7. CVPR 2026LDP-Slicing Local Differential Privacy for Images via Randomized Bit-Plane Slicing
8. CVPR 2026No Way To Steal My Face Proactive Defense Against Identity-Preserving
9. CVPR 2026Omni-Attack Adversarial Attacks on Open-Ended VQA in Black-Box Multimodal LLMs
10. CVPR 2026Out of Sight Out of Track Adversarial Attacks on Propagation-based
11. CVPR 2026Personalized Federated Training of Diffusion Models with Privacy Guarantees
12. CVPR 2026PrivSynth Alternating and Control-Based Optimization for Privacy and Utility in
13. CVPR 2026Protego User-Centric Pose-Invariant Privacy Protection Against Face Recognition-Induced Digital Footprint
14. CVPR 2026RaPA Enhancing Transferable Targeted Attacks via Random Parameter Pruning
15. CVPR 2026RemedyGS Defend 3D Gaussian Splatting Against Computation Cost Attacks
16. CVPR 2026Revisiting Geometric Obfuscation with Dual Convergent Lines for Privacy-Preserving Image
17. CVPR 2026SEBA Sample-Efficient Black-Box Attacks on Visual Reinforcement Learning
18. CVPR 2026Taming Noise-Induced Prototype Degradation for Privacy-Preserving Personalized Federated Fine-Tuning
19. CVPR 2026Towards Cross-Modal Preservation Consistency and Alignment for Privacy-Preserving Visible-Infrared Person
20. CVPR 2026Towards Robust Multimodal Large Language Models Against Jailbreak Attacks
21. CVPR 2026Towards Stealthy and Effective Backdoor Attacks on Lane Detection A
22. CVPR 2026V-Attack Targeting Disentangled Value Features for Controllable Adversarial Attacks on
23. CVPR 2026VCP-Attack Visual-Contrastive Projection for Transferable Black-Box Targeted Attacks on Large
24. CVPR 2026When Robots Obey the Patch Universal Transferable Patch Attacks on
25. ICLR 2026(Token-Level) \textbf{InfoRMIA}: Stronger Membership Inference and Privacy Assessment for LLMs
26. ICLR 2026A General Framework for Black-Box Attacks Under Cost Asymmetry
27. ICLR 2026A Law of Data Reconstruction for Random Features (And Beyond)
28. ICLR 2026Adaptive Attacks on Trusted Monitors Subvert AI Control Protocols
29. ICLR 2026Adversarial Attacks Already Tell the Answer: Directional Bias-Guided Test-time Defense for Vision-Language Models
30. ICLR 2026Adversarial Déjà Vu: Jailbreak Dictionary Learning for Stronger Generalization to Unseen Attacks
31. ICLR 2026AEGIS: Adversarial Target–Guided Retention-Data-Free Robust Concept Erasure from Diffusion Models
32. ICLR 2026Align to Misalign: Automatic LLM Jailbreak with Meta-Optimized LLM Judges
33. ICLR 2026AlphaSteer: Learning Refusal Steering with Principled Null-Space Constraint
34. ICLR 2026Antibody: Strengthening Defense Against Harmful Fine-Tuning for Large Language Models via Attenuating Harmful Gradient Influence
35. ICLR 2026Any-Depth Alignment: Unlocking Innate Safety Alignment of LLMs to Any-Depth
36. ICLR 2026Automatic Dialectic Jailbreak: A Framework for Generating Effective Jailbreak Strategies
37. ICLR 2026Benchmarking Empirical Privacy Protection for Adaptations of Large Language Models
38. ICLR 2026Beware Untrusted Simulators -- Reward-Free Backdoor Attacks in Reinforcement Learning
39. ICLR 2026Beyond Membership: Limitations of Add/Remove Adjacency in Differential Privacy
40. ICLR 2026Black-Box Privacy Attacks on Shared Representations in Multitask Learning
41. ICLR 2026Concept-Aware Privacy Mechanisms for Defending Embedding Inversion Attacks
42. ICLR 2026Curation Leaks: Membership Inference Attacks against Data Curation for Machine Learning
43. ICLR 2026Defending against Backdoor Attacks via Module Switching
44. ICLR 2026DiffuGuard: How Intrinsic Safety is Lost and Found in Diffusion Large Language Models
45. ICLR 2026Disrupting Hierarchical Reasoning: Adversarial Protection for Geographic Privacy in Multimodal Reasoning Models
46. ICLR 2026Don't Shift the Trigger: Robust Gradient Ascent for Backdoor Unlearning
47. ICLR 2026Doxing via the Lens: Revealing Location-related Privacy Leakage on Multi-modal Large Reasoning Models
48. ICLR 2026DRIFT: Divergent Response in Filtered Transformations for Robust Adversarial Defense
49. ICLR 2026Dropping Just a Handful of Preferences Can Change Top Large Language Model Rankings
50. ICLR 2026Dual Randomized Smoothing: Beyond Global Noise Variance

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.