Social aspects · safety papers, 2023–2026
Social aspect: safety
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 688 papers are tagged with this topic.
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.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 2 | 0 | 2 | 0 | 4 |
| 2024 | 23 | 11 | 6 | 1 | 41 |
| 2025 | 131 | 11 | 130 | 1 | 273 |
| 2026 | 121 | 20 | 226 | 3 | 370 |
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
273 papers, page 3 of 6
- ICML 2025Provably Cost-Sensitive Adversarial Defense via Randomized Smoothing
- ICML 2025Ranked from Within: Ranking Large Multimodal Models Without Labels
- ICML 2025Relative Error Fair Clustering in the Weak-Strong Oracle Model
- ICML 2025Representative Ranking for Deliberation in the Public Sphere
- ICML 2025Rethinking the Temperature for Federated Heterogeneous Distillation
- ICML 2025SafeArena: Evaluating the Safety of Autonomous Web Agents
- ICML 2025Safety Alignment Can Be Not Superficial With Explicit Safety Signals
- ICML 2025Safety Reasoning with Guidelines
- ICML 2025SafetyAnalyst: Interpretable, Transparent, and Steerable Safety Moderation for AI Behavior
- ICML 2025Scaling Trends in Language Model Robustness
- ICML 2025Selective Preference Aggregation
- ICML 2025SEMU: Singular Value Decomposition for Efficient Machine Unlearning
- ICML 2025ShieldAgent: Shielding Agents via Verifiable Safety Policy Reasoning
- ICML 2025Speak Easy: Eliciting Harmful Jailbreaks from LLMs with Simple Interactions
- ICML 2025SPRI: Aligning Large Language Models with Context-Situated Principles
- ICML 2025STAIR: Improving Safety Alignment with Introspective Reasoning
- ICML 2025Statistical Collusion by Collectives on Learning Platforms
- ICML 2025STD-FD: Spatio-Temporal Distribution Fitting Deviation for AIGC Forgery Identification
- ICML 2025Stealix: Model Stealing via Prompt Evolution
- ICML 2025Suitability Filter: A Statistical Framework for Classifier Evaluation in Real-World Deployment Settings
- ICML 2025Sum-of-Parts: Self-Attributing Neural Networks with End-to-End Learning of Feature Groups
- ICML 2025Tensor Product Neural Networks for Functional ANOVA Model
- ICML 2025Test-Time Multimodal Backdoor Detection by Contrastive Prompting
- ICML 2025The Elicitation Game: Evaluating Capability Elicitation Techniques
- ICML 2025The Illusion of Role Separation: Hidden Shortcuts in LLM Role Learning (and How to Fix Them)
- ICML 2025The Jailbreak Tax: How Useful are Your Jailbreak Outputs?
- ICML 2025The Limits of Predicting Agents from Behaviour
- ICML 2025The Perils of Optimizing Learned Reward Functions: Low Training Error Does Not Guarantee Low Regret
- ICML 2025TOPLOC: A Locality Sensitive Hashing Scheme for Trustless Verifiable Inference
- ICML 2025Towards Attributions of Input Variables in a Coalition
- ICML 2025Towards Black-Box Membership Inference Attack for Diffusion Models
- ICML 2025Towards flexible perception with visual memory
- ICML 2025Towards Global-level Mechanistic Interpretability: A Perspective of Modular Circuits of Large Language Models
- ICML 2025TRUST-VLM: Thorough Red-Teaming for Uncovering Safety Threats in Vision-Language Models
- ICML 2025Trustworthy Machine Learning through Data-Specific Indistinguishability
- ICML 2025Uncertainty-Based Extensible Codebook for Discrete Federated Learning in Heterogeneous Data Silos
- ICML 2025Validating Mechanistic Interpretations: An Axiomatic Approach
- ICML 2025Weak-to-Strong Jailbreaking on Large Language Models
- ICML 2025What makes an Ensemble (Un) Interpretable?
- ICML 2025Which Attention Heads Matter for In-Context Learning?
- ICML 2025WMarkGPT: Watermarked Image Understanding via Multimodal Large Language Models
- ICML 2025X-Hacking: The Threat of Misguided AutoML
- NeurIPS 2025AdaptDel: Adaptable Deletion Rate Randomized Smoothing for Certified Robustness
- NeurIPS 2025Adaptive Defense against Harmful Fine-Tuning for Large Language Models via Bayesian Data Scheduler
- NeurIPS 2025Additive Models Explained: A Computational Complexity Approach
- NeurIPS 2025Adjacent Words, Divergent Intents: Jailbreaking Large Language Models via Task Concurrency
- NeurIPS 2025Alignment of Large Language Models with Constrained Learning
- NeurIPS 2025Analogy-based Multi-Turn Jailbreak against Large Language Models
- NeurIPS 2025Backdoor Cleaning without External Guidance in MLLM Fine-tuning
- NeurIPS 2025Boosting the Uniqueness of Neural Networks Fingerprints with Informative Triggers
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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.