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
688 papers, page 1 of 14
- CVPR 2026Breaking Multimodal LLM Safety via Video-Driven Prompting
- CVPR 2026Omni-MMSI Toward Identity-attributed Social Interaction Understanding
- CVPR 2026Spot The Ball A Benchmark for Visual Social Inference
- ICLR 2026A2D: Any-Order, Any-Step Safety Alignment for Diffusion Language Models
- ICLR 2026Any-Depth Alignment: Unlocking Innate Safety Alignment of LLMs to Any-Depth
- ICLR 2026Beyond Linear Probes: Dynamic Safety Monitoring for Language Models
- ICLR 2026Bi-Criteria Metric Distortion
- ICLR 2026Erase or Hide? Suppressing Spurious Unlearning Neurons for Robust Unlearning
- ICLR 2026GAVEL: Towards Rule-Based Safety through Activation Monitoring
- ICLR 2026GradShield: Alignment Preserving Finetuning
- ICLR 2026GuardAlign: Robust Safety Alignment in Multimodal Large Language Models
- ICLR 2026Invisible Safety Threat: Malicious Finetuning for LLM via Steganography
- ICLR 2026OffTopicEval: When Large Language Models Enter the Wrong Chat, Almost Always!
- ICLR 2026On the Impossibility of Separating Intelligence from Judgment: The Computational Intractability of Filtering for AI Alignment
- ICLR 2026PRISON: Unmasking the Criminal Potential of Large Language Models
- ICLR 2026ProSafePrune: Projected Safety Pruning for Mitigating Over-Refusal in LLMs
- ICLR 2026Reasoned Safety Alignment: Ensuring Jailbreak Defense via Answer-Then-Check
- ICLR 2026Reward Models Inherit Value Biases from Pretraining
- ICLR 2026Safety Subspaces are Not Linearly Distinct: A Fine-Tuning Case Study
- ICLR 2026Social Agents: Collective Intelligence Improves LLM Predictions
- ICLR 2026Steering Language Models with Weight Arithmetic
- ICLR 2026Superficial Safety Alignment Hypothesis
- ICLR 2026When Style Breaks Safety: Defending LLMs Against Superficial Style Alignment
- ICML 2026A Geometric Analysis of Small-sized Language Model Hallucinations
- ICML 2026A New Framework for Cybersecurity Refusals in AI Agents
- ICML 2026A Positive Case for Faithfulness: Explanations Help Predict Model Behavior
- ICML 2026A Unified Framework for Diffusion Model Unlearning with f-Divergence
- ICML 2026A-MemGuard: A Proactive Defense Framework For LLM-Based Agent Memory
- ICML 2026ABC-Bench: An Agentic Bio-Capabilities Benchmark for Biosecurity
- ICML 2026Acoustic Interference: A New Paradigm Weaponizing Acoustic Latent Semantic for Universal Jailbreak against Large Audio Language Models
- ICML 2026Agentic Confidence Calibration
- ICML 2026AIR: Improving Agent Safety through Incident Response
- ICML 2026Algorithmic Recourse of In-Context Learning for Tabular Data
- ICML 2026Ambiguous Strategic Classification
- ICML 2026An Odd Estimator for Shapley Values
- ICML 2026Anchored Decoding: Provably Reducing Copyright Risk for Any Language Model
- ICML 2026Anti-Backdoor Coreset Selection via Cumulative Entropy
- ICML 2026Architecture Matters for Multi-Agent Security
- ICML 2026Are Your Agents Upward Deceivers?
- ICML 2026At the Edge of Understanding: Sparse Autoencoders Trace The Limits of Transformer Generalization
- ICML 2026AutoControl Arena: Synthesizing Executable Test Environments for Frontier AI Risk Evaluation
- ICML 2026Automatically Finding Reward Model Biases
- ICML 2026Belief Dynamics Reveal the Dual Nature of In-Context Learning and Activation Steering
- ICML 2026Beyond Additive Decompositions: Interpretability Through Separability
- ICML 2026Beyond External Monitors: Enhancing Transparency of Large Language Models for Easier Monitoring
- ICML 2026Beyond Pixels: Mining Compressed Domain Artifacts for Efficient AI-Generated Video Detection
- ICML 2026Biases in the Blind Spot: Detecting What LLMs Fail to Mention
- ICML 2026BlueCodeAgent: A Blue Teaming Agent Powered by Automated Red Teaming for CodeGen AI
- ICML 2026Broadening the Backdoor Basin: Understanding LLM Backdoors Collapse and Making Backdoors Persistent
- ICML 2026Building Reliable Long-Form Generation via Hallucination Rejection Sampling
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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.