Privacy Attacks papers, 2023–2026
Membership inference and attacks
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 698 papers are tagged with this topic.
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.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 46 | 24 | 29 | 25 | 124 |
| 2024 | 63 | 53 | 42 | 22 | 180 |
| 2025 | 45 | 83 | 29 | 18 | 175 |
| 2026 | 55 | 102 | 38 | 24 | 219 |
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
38 papers, page 1 of 1
- ICML 2026A Game-Theoretic Analysis of Attacks on Large Language Models via Compositional Skills
- ICML 2026A Statistical Framework for Analyzing Specification Resistance to Learnware-Inversion Risks
- ICML 2026Adversarial Attacks and Robust Training for Hypergraph Neural Networks
- ICML 2026AgentLAB: Benchmarking LLM Agents against Long-Horizon Attacks
- ICML 2026AlienLM: Alienization of Language for API-Boundary Privacy in Black-Box LLMs
- ICML 2026An Empirical Study on the Resilience of Partial Merging to Model Clone Attacks
- ICML 2026Bias in Zeroth-Order Normal Estimation for Decision-Based Attacks
- ICML 2026Continual Learning With Participation Privacy: An Auditable Buffering-Aggregation Recipe
- ICML 2026CREDIT: Certified Ownership Verification of Deep Neural Networks Against Model Extraction Attacks
- ICML 2026DIVER: Diving Deeper into Distilled Data via Expressive Semantic Recovery
- ICML 2026Efficient privacy loss accounting for subsampling and random allocation
- ICML 2026Enhancing Membership Inference Attacks on Diffusion Models from a Frequency-Domain Perspective
- ICML 2026Fast and Near-Optimal Algorithms for Private Hypothesis Selection
- ICML 2026From Prompts to Responses: Dual-Sided Data Leakage and Defense in Split Large Language Models
- ICML 2026Gradient Inversion Attacks Beyond SGD
- ICML 2026How does Bayesian Sampling help Membership Inference Attacks?
- ICML 2026Localizing Memorized Regions in Diffusion Models via Coordinate-Wise Curvature Differences
- ICML 2026Membership Inference Attacks for Unseen Classes
- ICML 2026MetaMoE: Diversity-Aware Proxy Selection for Privacy-Preserving Mixture-of-Experts Unification
- ICML 2026Multilingual Unlearning in LLMs: Transfer, Dynamics, and Reversibility
- ICML 2026Neural Honeytrace: Plug&Play Watermarking Framework against Model Extraction Attacks
- ICML 2026New Wide-Net-Casting Jailbreak Attacks Risk Large Models
- ICML 2026On the Sharp Input-Output Analysis of Nonlinear Systems under Adversarial Attacks
- ICML 2026OptiFluence: Principled Design of Privacy Canaries
- ICML 2026Optimal conversion from Rényi Differential Privacy to $f$-Differential Privacy
- ICML 2026Persistent Backdoor Attacks in Class-Incremental Learning via Structural Invariant Anchoring
- ICML 2026Persuasive Privacy
- ICML 2026PrivAct: Internalizing Contextual Privacy Preservation via Multi-Agent Preference Training
- ICML 2026Provably Protecting Fine-Tuned LLMs from Training Data Extraction while Preserving Utility
- ICML 2026Reconstructing Template-Memorized Images from Natural Prompts
- ICML 2026Revisiting Asymmetries in Black-box Link Stealing against Graph Neural Networks
- ICML 2026Robust In-Context Reinforcement Learning Under Reward Poisoning Attacks
- ICML 2026SORA: Free Second-Order Attacks in Fast Adversarial Training
- ICML 2026The Hidden Risk: Membership Inference Attacks on Multimodal Federated Learning via Modality Imbalance
- ICML 2026Training-Free Adversarial Robustness in Computational MRI
- ICML 2026Unlearning Isn’t Forgetting: Revealing Hidden Leakage in Class Unlearning Evaluations
- ICML 2026When Can You Poison Rewards? A Tight Characterization of Reward Poisoning in Linear MDPs
- ICML 2026Where Rectified Flows Leak: Characterising Membership Signals Along the Interpolation Path
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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.