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

262 papers, page 1 of 6

1. ICLR 2026(Token-Level) \textbf{InfoRMIA}: Stronger Membership Inference and Privacy Assessment for LLMs
2. ICLR 2026A General Framework for Black-Box Attacks Under Cost Asymmetry
3. ICLR 2026A Law of Data Reconstruction for Random Features (And Beyond)
4. ICLR 2026Adaptive Attacks on Trusted Monitors Subvert AI Control Protocols
5. ICLR 2026Adversarial Attacks Already Tell the Answer: Directional Bias-Guided Test-time Defense for Vision-Language Models
6. ICLR 2026Adversarial Déjà Vu: Jailbreak Dictionary Learning for Stronger Generalization to Unseen Attacks
7. ICLR 2026AEGIS: Adversarial Target–Guided Retention-Data-Free Robust Concept Erasure from Diffusion Models
8. ICLR 2026Align to Misalign: Automatic LLM Jailbreak with Meta-Optimized LLM Judges
9. ICLR 2026AlphaSteer: Learning Refusal Steering with Principled Null-Space Constraint
10. ICLR 2026Antibody: Strengthening Defense Against Harmful Fine-Tuning for Large Language Models via Attenuating Harmful Gradient Influence
11. ICLR 2026Any-Depth Alignment: Unlocking Innate Safety Alignment of LLMs to Any-Depth
12. ICLR 2026Automatic Dialectic Jailbreak: A Framework for Generating Effective Jailbreak Strategies
13. ICLR 2026Benchmarking Empirical Privacy Protection for Adaptations of Large Language Models
14. ICLR 2026Beware Untrusted Simulators -- Reward-Free Backdoor Attacks in Reinforcement Learning
15. ICLR 2026Beyond Membership: Limitations of Add/Remove Adjacency in Differential Privacy
16. ICLR 2026Black-Box Privacy Attacks on Shared Representations in Multitask Learning
17. ICLR 2026Concept-Aware Privacy Mechanisms for Defending Embedding Inversion Attacks
18. ICLR 2026Curation Leaks: Membership Inference Attacks against Data Curation for Machine Learning
19. ICLR 2026Defending against Backdoor Attacks via Module Switching
20. ICLR 2026DiffuGuard: How Intrinsic Safety is Lost and Found in Diffusion Large Language Models
21. ICLR 2026Disrupting Hierarchical Reasoning: Adversarial Protection for Geographic Privacy in Multimodal Reasoning Models
22. ICLR 2026Don't Shift the Trigger: Robust Gradient Ascent for Backdoor Unlearning
23. ICLR 2026Doxing via the Lens: Revealing Location-related Privacy Leakage on Multi-modal Large Reasoning Models
24. ICLR 2026DRIFT: Divergent Response in Filtered Transformations for Robust Adversarial Defense
25. ICLR 2026Dropping Just a Handful of Preferences Can Change Top Large Language Model Rankings
26. ICLR 2026Dual Randomized Smoothing: Beyond Global Noise Variance
27. ICLR 2026Dual-Space Smoothness for Robust and Balanced LLM Unlearning
28. ICLR 2026Efficient Adversarial Attacks on High-dimensional Offline Bandits
29. ICLR 2026EigenBench: A Comparative Behavioral Measure of Value Alignment
30. ICLR 2026Eliciting Harmful Capabilities by Fine-Tuning on Safeguarded Outputs
31. ICLR 2026EvA: Evolutionary Attacks on Graphs
32. ICLR 2026Exponential-Wrapped Mechanisms: Differential Privacy on Hadamard Manifolds Made Practical
33. ICLR 2026Federated Learning of Quantile Inference under Local Differential Privacy
34. ICLR 2026Federated Learning with Profile Mapping under Distribution Shifts and Drifts
35. ICLR 2026Fine-Grained Iterative Adversarial Attacks with Limited Computation Budget
36. ICLR 2026Fine-Grained Privacy Extraction from Retrieval-Augmented Generation Systems by Exploiting Knowledge Asymmetry
37. ICLR 2026Fingerprinting Deep Neural Networks for Ownership Protection: An Analytical Approach
38. ICLR 2026Ghost in the Cloud: Your Geo-Distributed Large Language Models Training is Easily Manipulated
39. ICLR 2026GuidedBench: Measuring and Mitigating the Evaluation Discrepancies of In-the-wild LLM Jailbreak Methods
40. ICLR 2026Hubble: a Model Suite to Advance the Study of LLM Memorization
41. ICLR 2026INO-SGD: Addressing Utility Imbalance under Individualized Differential Privacy
42. ICLR 2026Jailbreak Transferability Emerges from Shared Representations
43. ICLR 2026JailbreakLoRA: Your Downloaded LoRA from Sharing Platforms might be Unsafe
44. ICLR 2026JULI: Jailbreak Large Language Models by Self-Introspection
45. ICLR 2026Label Smoothing Improves Machine Unlearning
46. ICLR 2026Language Models are Injective and Hence Invertible
47. ICLR 2026Learnability and Privacy Vulnerability are Entangled in a Few Critical Weights
48. ICLR 2026Learning to Lie: Adversarial Attacks on Human-AI Teams and LLMs
49. ICLR 2026Membership Inference Attacks Against Fine-tuned Diffusion Language Models
50. ICLR 2026Membership Privacy Risks of Sharpness Aware Minimization

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.