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
226 papers, page 3 of 5
- ICML 2026It's a TRAP! Task-Redirecting Agent Persuasion Benchmark for Web Agents
- ICML 2026Jailbreak Foundry: From Papers to Runnable Attacks for Reproducible Benchmarking
- ICML 2026Jailbreak to Protect: Buffering and Reinforcing via Temporary Jailbreaking for Safe Fine-Tuning in Large Language Models
- ICML 2026Knowing Bias, Doing Better: Mitigating Social Bias in LLMs via Know-Bias Neuron Enhancement
- ICML 2026Language Model Circuits Are Sparse in the Neuron Basis
- ICML 2026Learning Efficient Guardrails for Compliance
- ICML 2026Learning to Watermark in the Latent Space of Generative Models
- ICML 2026Linear Ensembles Wash Away Watermarks: On the Fragility of Distributional Perturbations in LLMs
- ICML 2026Locate then Correct: Debiasing Attention Heads in CLIP
- ICML 2026Low-Compute Watermark Removal via Dual-Domain Natural Projection
- ICML 2026Making Models Unmergeable via Scaling-Sensitive Loss Landscape
- ICML 2026Mechanisms of Introspective Awareness
- ICML 2026Mechanistic Anomaly Detection via Functional Attribution
- ICML 2026Mechanistic Interpretability as Statistical Estimation: A Variance Analysis
- ICML 2026Meerkat-VL: Implicit Risk Safety Alignment in Multimodal LLMs via Perceptual Reasoning and Self-Verification
- ICML 2026Membership Inference Attacks for Unseen Classes
- ICML 2026MESA: Improving MoE Safety Alignment via Decentralized Expertise
- ICML 2026Metis: Learning to Jailbreak LLMs via Self-Evolving Metacognitive Policy Optimization
- ICML 2026Mitigating the Safety–Utility Trade-off in LLM Alignment via Adaptive Safe Context Learning
- ICML 2026Monitoring Monitorability
- ICML 2026More Capable, Less Cooperative? When LLMs Fail at Zero-Cost Collaboration
- ICML 2026More Sail than Ballast: Addressing Harmful Knowledge Leakage in the Expansive Reasoning Space of LRMs
- ICML 2026MultiBreak: A Scalable and Diverse Multi-turn Jailbreak Benchmark for Evaluating LLM Safety
- ICML 2026Multilingual Safety Alignment via Representation-Space Separability
- ICML 2026Neural Vector Lyapunov–Razumikhin Certificates for Delayed Interconnected Systems
- ICML 2026Old Habits Die Hard: How Conversational History Geometrically Traps LLMs
- ICML 2026OmniVL-Guard: Towards Unified Vision-Language Forgery Detection and Grounding via Balanced RL
- ICML 2026OpenDeception: Learning Deception and Trust in Human–AI Interaction via Multi-Agent Simulation
- ICML 2026Optimal Regularization for Performative Learning
- ICML 2026Optimal Transport Group Counterfactual Explanations
- ICML 2026Orthogonal Concept Erasure for Diffusion Models
- ICML 2026OSCS: Online Selection with Provable FAR Control for LLM Safety
- ICML 2026Peer-Preservation in Frontier Models
- ICML 2026PersistBench: When Should Long-Term Memories Be Forgotten by LLMs?
- ICML 2026PlugGuard: A Streaming Safeguard for Large Models via Latent Dynamics-Guided Risk Detection
- ICML 2026Pluralistic Leaderboards
- ICML 2026Poison with Style: A Practical Poisoning Attack on Code Large Language Models
- ICML 2026Policies Permitting LLM Use for Polishing Peer Reviews Are Currently Not Enforceable
- ICML 2026Pressure Reveals Character: Behavioural Alignment Evaluation at Depth
- ICML 2026Proactive Defense Benchmark against Deepfake Generation
- ICML 2026Probabilistic Modeling of Latent Agentic Substructures in Deep Neural Networks
- ICML 2026Profiling the Irrational Agent: Cognitive Modeling of LLM Behaviors in Sequential Jailbreaks
- ICML 2026Prompt Injection as Role Confusion
- ICML 2026Quantifying LLM Attention-Head Stability: Implications for Circuit Universality
- ICML 2026Quantifying the Salience of Geo-Cultural Values for Pluralistic Safety Alignment
- ICML 2026Query Lens: Interpreting Sparse Key-Value Features with Indirect Effects
- ICML 2026Questioning the Coverage-Length Metric in Conformal Prediction: When Shorter Intervals Are Not Better
- ICML 2026REALISTA: Realistic Latent Adversarial Attacks that Elicit LLM Hallucinations
- ICML 2026Reasoning Models Struggle to Control their Chains of Thought
- ICML 2026RedDebate: Safer Responses Through Multi-Agent Red Teaming Debates
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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.