Social aspects · safety papers, 2023–2026

Key findings

• Social aspects · safety went from 4 papers in 2023 to 370 in 2026, roughly 93x in three years.
• ICML publishes the most Social aspects · safety work: 364 papers from 2023 to 2026, 53% of the four-venue total.
• The fastest-growing overlap is with Alignment and Safety: papers tagged with both rose from 0 in 2023 to 137 in 2026.
• Among the 5 topics under Alignment and Responsible AI, it ranks #3 by 2026 paper count; the fastest grower in the group, Social aspects · privacy, is up 6.6x versus 93x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026BarrierSteer: LLM Safety via Learning Barrier Steering
• ICML 2026Anti-Backdoor Coreset Selection via Cumulative Entropy
• ICLR 2026Bi-Criteria Metric Distortion
• CVPR 2026Omni-MMSI Toward Identity-attributed Social Interaction Understanding
• NeurIPS 2025Safety Pretraining: Toward the Next Generation of Safe AI
• ICML 2025$S^2$FGL: Spatial Spectral Federated Graph Learning
• ICLR 2025The Hidden Cost of Waiting for Accurate Predictions
• CVPR 2025Do We Really Need Curated Malicious Data for Safety Alignment in Multi-modal Large Language Models?
• NeurIPS 2024Quantifying the Bitter Lesson: How Safety Benchmarks Measure Capabilities Instead of Safety
• ICML 2024Optimally Improving Cooperative Learning in a Social Setting
• ICLR 2024The Devil is in the Neurons: Interpreting and Mitigating Social Biases in Language Models
• CVPR 2024Digital Life Project: Autonomous 3D Characters with Social Intelligence
• NeurIPS 2023Strategyproof Voting under Correlated Beliefs
• ICML 2023Adaptive Coordination in Social Embodied Rearrangement
• NeurIPS 2026Beyond Feature Disruption: Boundary-Diverting Unlearnable Examples against Linear Probing
• ICML 2026AutoControl Arena: Synthesizing Executable Test Environments for Frontier AI Risk Evaluation
• ICLR 2026PRISON: Unmasking the Criminal Potential of Large Language Models
• CVPR 2026Spot The Ball A Benchmark for Visual Social Inference
• NeurIPS 2025SAFEx: Analyzing Vulnerabilities of MoE-Based LLMs via Stable Safety-critical Expert Identification
• ICML 2025Adversaries Can Misuse Combinations of Safe Models

All Social aspects · safety papers

277 papers, page 3 of 6

101. NeurIPS 2026TailGuard: Subgroup Tail Coverage Theory for Safe LLM Alignment
102. NeurIPS 2026Tatemae: Detecting Alignment Faking via Tool Selection in LLMs
103. NeurIPS 2026Tcell: Mitigating Harmful Fine-tuning for Large Language Models via Gradient Alignment
104. NeurIPS 2026Temporal Gradient Inversion for Private Trajectory Reconstruction in Embodied Reinforcement Learning
105. NeurIPS 2026TensorCommitments: A Lightweight Verifiable Inference for Large Language Models
106. NeurIPS 2026The Algorithm Is Not the Behavior: Learned Priors Override Look-Ahead in a Chess-Playing Neural Network
107. NeurIPS 2026The Alignment Tax Concentrates in Output Projections
108. NeurIPS 2026The Geometric Inductive Bias of Grokking: Bypassing Phase Transitions via Architectural Topology
109. NeurIPS 2026The Geometric Wall: Manifold Structure Predicts Layerwise Sparse Autoencoder Scaling Laws
110. NeurIPS 2026The Geometry of Alignment Collapse: When Fine-Tuning Breaks Safety
111. NeurIPS 2026Tight PAC-Bayes Generalisation Guarantees for Large Language Model Safety Monitoring
112. NeurIPS 2026Towards Fair Graph Generation Without Sensitive Attribute
113. NeurIPS 2026Tracing the Cascade: A Topology-Aware Evaluation Framework for Scientific Agent Hallucinations
114. NeurIPS 2026Training ML Models with Predictable Failures
115. NeurIPS 2026TrustMod-SM: A Multi-Axis Benchmark for Evaluating Trustworthiness of LLMs in Social Media Content Moderation
116. NeurIPS 2026Unsupervised Unlearnable Segmentation via Semantic Structure Disruption
117. NeurIPS 2026Untrusted Content Masking for Web Agents with Security Guarantees
118. NeurIPS 2026UpSafe℃: Upcycling for Controllable Safety in Large Language Models
119. NeurIPS 2026Values Are Not Single Labels: Distributional Value Profiling Across Groups and Contexts
120. NeurIPS 2026When Poison Meets Structure: Topology-based Defense against Poisoning Attack on Graph-based Retrieval-Augmented Generation
121. NeurIPS 2026Where Should Society Draw the Line? A Social Choice Approach to Collective Consent
122. NeurIPS 2025AdaptDel: Adaptable Deletion Rate Randomized Smoothing for Certified Robustness
123. NeurIPS 2025Adaptive Defense against Harmful Fine-Tuning for Large Language Models via Bayesian Data Scheduler
124. NeurIPS 2025Additive Models Explained: A Computational Complexity Approach
125. NeurIPS 2025Adjacent Words, Divergent Intents: Jailbreaking Large Language Models via Task Concurrency
126. NeurIPS 2025Alignment of Large Language Models with Constrained Learning
127. NeurIPS 2025Analogy-based Multi-Turn Jailbreak against Large Language Models
128. NeurIPS 2025Backdoor Cleaning without External Guidance in MLLM Fine-tuning
129. NeurIPS 2025Boosting the Uniqueness of Neural Networks Fingerprints with Informative Triggers
130. NeurIPS 2025BridgePure: Limited Protection Leakage Can Break Black-Box Data Protection
131. NeurIPS 2025C-SafeGen: Certified Safe LLM Generation with Claim-Based Streaming Guardrails
132. NeurIPS 2025CHiQPM: Calibrated Hierarchical Interpretable Image Classification
133. NeurIPS 2025Collective Bargaining in the Information Economy Can Address AI-Driven Power Concentration
134. NeurIPS 2025Combining Cost Constrained Runtime Monitors for AI Safety
135. NeurIPS 2025Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models
136. NeurIPS 2025Contimask: Explaining Irregular Time Series via Perturbations in Continuous Time
137. NeurIPS 2025CoT Red-Handed: Stress Testing Chain-of-Thought Monitoring
138. NeurIPS 2025CTRL-ALT-DECEIT Sabotage Evaluations for Automated AI R&D
139. NeurIPS 2025Detecting High-Stakes Interactions with Activation Probes
140. NeurIPS 2025Detoxifying Large Language Models via Autoregressive Reward Guided Representation Editing
141. NeurIPS 2025Direct Alignment with Heterogeneous Preferences
142. NeurIPS 2025Discovering Opinion Intervals from Conflicts in Signed Graphs
143. NeurIPS 2025Distillation Robustifies Unlearning
144. NeurIPS 2025Does Representation Guarantee Welfare?
145. NeurIPS 2025DualOptim: Enhancing Efficacy and Stability in Machine Unlearning with Dual Optimizers
146. NeurIPS 2025Dynamic Risk Assessments for Offensive Cybersecurity Agents
147. NeurIPS 2025Erasing Conceptual Knowledge from Language Models
148. NeurIPS 2025ErrorTrace: A Black-Box Traceability Mechanism Based on Model Family Error Space
149. NeurIPS 2025Fair Deepfake Detectors Can Generalize
150. NeurIPS 2025Fairshare Data Pricing via Data Valuation for Large Language Models

FAQ

How many Social aspects · safety papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

688 in total: 4 in 2023, 41 in 2024, 273 in 2025, 370 in 2026.

How many Social aspects · safety papers are at NeurIPS 2026?

NeurIPS 2026 has 121 Social aspects · safety papers, versus 131 the year before.

How many Social aspects · safety papers are at ICLR 2026?

ICLR 2026 has 20 Social aspects · safety papers, versus 11 the year before.

How many Social aspects · safety papers are at ICML 2026?

ICML 2026 has 226 Social aspects · safety papers, versus 130 the year before.

How many Social aspects · safety papers are at CVPR 2026?

CVPR 2026 has 3 Social aspects · safety papers, versus 1 the year before.

Which conference publishes the most Social aspects · safety papers?

ICML, with 364 papers from 2023 to 2026.