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

698 papers, page 6 of 14

251. ICLR 2025Can Watermarked LLMs be Identified by Users via Crafted Prompts?
252. ICLR 2025Can We Trust Embodied Agents? Exploring Backdoor Attacks against Embodied LLM-Based Decision-Making Systems
253. ICLR 2025Certifying Language Model Robustness with Fuzzed Randomized Smoothing: An Efficient Defense Against Backdoor Attacks
254. ICLR 2025Convergent Privacy Loss of Noisy-SGD without Convexity and Smoothness
255. ICLR 2025CPSample: Classifier Protected Sampling for Guarding Training Data During Diffusion
256. ICLR 2025CREAM: Consistency Regularized Self-Rewarding Language Models
257. ICLR 2025DarkBench: Benchmarking Dark Patterns in Large Language Models
258. ICLR 2025Democratic Training Against Universal Adversarial Perturbations
259. ICLR 2025DocMIA: Document-Level Membership Inference Attacks against DocVQA Models
260. ICLR 2025Does Refusal Training in LLMs Generalize to the Past Tense?
261. ICLR 2025Does Training with Synthetic Data Truly Protect Privacy?
262. ICLR 2025EIA: ENVIRONMENTAL INJECTION ATTACK ON GENERALIST WEB AGENTS FOR PRIVACY LEAKAGE
263. ICLR 2025Endless Jailbreaks with Bijection Learning
264. ICLR 2025Enhancing Learning with Label Differential Privacy by Vector Approximation
265. ICLR 2025EvA: Erasing Spurious Correlations with Activations
266. ICLR 2025Exploring Local Memorization in Diffusion Models via Bright Ending Attention
267. ICLR 2025Fair Clustering in the Sliding Window Model
268. ICLR 2025Functional Homotopy: Smoothing Discrete Optimization via Continuous Parameters for LLM Jailbreak Attacks
269. ICLR 2025GPromptShield: Elevating Resilience in Graph Prompt Tuning Against Adversarial Attacks
270. ICLR 2025GRAIN: Exact Graph Reconstruction from Gradients
271. ICLR 2025GSBA$^K$: $top$-$K$ Geometric Score-based Black-box Attack
272. ICLR 2025h4rm3l: A Language for Composable Jailbreak Attack Synthesis
273. ICLR 2025How much of my dataset did you use? Quantitative Data Usage Inference in Machine Learning
274. ICLR 2025Humanizing the Machine: Proxy Attacks to Mislead LLM Detectors
275. ICLR 2025Improved Techniques for Optimization-Based Jailbreaking on Large Language Models
276. ICLR 2025Improving Generalization and Robustness in SNNs Through Signed Rate Encoding and Sparse Encoding Attacks
277. ICLR 2025Jailbreaking as a Reward Misspecification Problem
278. ICLR 2025Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks
279. ICLR 2025Language Models are Advanced Anonymizers
280. ICLR 2025Learning from End User Data with Shuffled Differential Privacy over Kernel Densities
281. ICLR 2025Machine Unlearning Fails to Remove Data Poisoning Attacks
282. ICLR 2025Machine Unlearning via Simulated Oracle Matching
283. ICLR 2025Mind Control through Causal Inference: Predicting Clean Images from Poisoned Data
284. ICLR 2025Multi-level Certified Defense Against Poisoning Attacks in Offline Reinforcement Learning
285. ICLR 2025Near-Exact Privacy Amplification for Matrix Mechanisms
286. ICLR 2025On Evaluating the Durability of Safeguards for Open-Weight LLMs
287. ICLR 2025On the Price of Differential Privacy for Hierarchical Clustering
288. ICLR 2025Optimality of Matrix Mechanism on $\ell_p^p$-metric
289. ICLR 2025Persistent Pre-training Poisoning of LLMs
290. ICLR 2025PRISM: Privacy-Preserving Improved Stochastic Masking for Federated Generative Models
291. ICLR 2025Privacy Auditing of Large Language Models
292. ICLR 2025Privacy-Aware Lifelong Learning
293. ICLR 2025Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models
294. ICLR 2025Privately Counting Partially Ordered Data
295. ICLR 2025Proactive Privacy Amnesia for Large Language Models: Safeguarding PII with Negligible Impact on Model Utility
296. ICLR 2025ProAdvPrompter: A Two-Stage Journey to Effective Adversarial Prompting for LLMs
297. ICLR 2025Protecting against simultaneous data poisoning attacks
298. ICLR 2025Provably Robust Explainable Graph Neural Networks against Graph Perturbation Attacks
299. ICLR 2025REFINE: Inversion-Free Backdoor Defense via Model Reprogramming
300. ICLR 2025RobustKV: Defending Large Language Models against Jailbreak Attacks via KV Eviction

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.