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

226 papers, page 2 of 5

51. ICML 2026Dissect and Prune: Enhancing Robustness in AI-Generated Image Detection
52. ICML 2026Dissecting the Safety Circuit: Neuronal Intervention for Transferable Adversarial Attacks on VLMs
53. ICML 2026Divergence Decoding: Inference-Time Unlearning via Auxiliary Models
54. ICML 2026Do Language Models Track Entities Across State Changes?
55. ICML 2026Don't Walk the Line: Boundary Guidance for Filtered Generation
56. ICML 2026Dual-branch Robust Unlearnable Examples
57. ICML 2026Efficient LLM Moderation with Multi-Layer Latent Prototypes
58. ICML 2026EMBGuard: Constructing Hazard-Aware Guardrails for Safe Planning in Embodied Agents
59. ICML 2026Emergence of Biased Consensus in Multi-Agent LLM Debates
60. ICML 2026Emergence of Hierarchical Emotion Organization in Large Language Models
61. ICML 2026Emergent Communication Under Misinformation
62. ICML 2026Enhancing Conformal Prediction via Class Similarity
63. ICML 2026Ensembling Sparse Autoencoders
64. ICML 2026Estimating Tail Risks in Language Model Output Distributions
65. ICML 2026Exactly Computing do-Shapley Values
66. ICML 2026ExPLAIND: Unifying Model, Data, and Training Attribution to Study Model Behavior
67. ICML 2026Exploration Hacking: Can LLMs Learn to Resist RL Training?
68. ICML 2026Exploring Nonlinear Pathway in Parameter Space for Machine Unlearning
69. ICML 2026Eyes-on-Me: Scalable RAG Poisoning through Transferable Attention-Steering Attractors
70. ICML 2026Fair Decisions from Calibrated Scores: Achieving Optimal Classification While Satisfying Sufficiency
71. ICML 2026Faithful Mobile GUI Agents with Guided Advantage Estimator
72. ICML 2026Falling Trees: A Model Class for Interpretable Risk Prioritization
73. ICML 2026Finding Most Influential Sets
74. ICML 2026FLARE-AI: Flaw Reporting for AI
75. ICML 2026Fleet: Few Shots Lead Effective AI-generated Image Detection
76. ICML 2026FoeGlass: Simple In-Context Learning Is Enough for Red Teaming Audio Deepfake Detectors
77. ICML 2026ForceForget: Reinforcement Concept Removal for Enhancing Safety in Text-to-Image Models
78. ICML 2026FormalJudge: A Neuro-Symbolic Paradigm for Agentic Oversight
79. ICML 2026From Parameter Dynamics to Risk Scoring: Quantifying Sample-Level Safety Degradation in LLM Fine-tuning
80. ICML 2026From Rashomon Theory to PRAXIS: Efficient Decision Tree Rashomon Sets
81. ICML 2026From Talking to Singing: A New Challenge for Audio-Visual Deepfake Detection
82. ICML 2026Frontier Models Can Take Actions at Low Probabilities
83. ICML 2026Furina: Fragmented Uncertainty-Driven Refusal Instability Attack
84. ICML 2026FUSE: Full‑spectrum Unlearnable Examples via Spectral Equalization
85. ICML 2026FuseFSS: Efficient Secure LLM Inference with Function Secret Sharing
86. ICML 2026Gaming Consensus: Coordinated Manipulation in Crowdsourced Fact-Checking
87. ICML 2026GKD-Recruiter: Jointly Modeling Social and Task Heterogeneity for Spatial Crowdsourcing via Graph Knowledge Distillation
88. ICML 2026Greedy Coordinate Diffusion: Effective and Semantically Coherent Adversarial Attacks via Diffusion Guidance
89. ICML 2026Guaranteed Optimal Compositional Explanations for Neurons
90. ICML 2026Hidden in Plain Sight -- Class Competition Focuses Attribution Maps
91. ICML 2026Hidden in Plain Tokens: Simply Robust, Gradient-Free Watermark for Synthetic Audio
92. ICML 2026How does information access affect LLM monitors' ability to detect sabotage?
93. ICML 2026How to Avoid Debate: Scalable AI Safety via Doubly-Efficient Interactive Proofs
94. ICML 2026Hugging Carbon: Quantifying the Training Carbon Emissions of AI Models at Scale
95. ICML 2026Implicit Safety Alignment from Crowd Preferences
96. ICML 2026In-Training Defenses Against Emergent Misalignment in Language Models
97. ICML 2026Inducing Overthink: Hierarchical Genetic Algorithm-based DoS Attack on Black-Box Large Language Reasoning Models
98. ICML 2026Interpretable Embeddings with Sparse Autoencoders: A Data Analysis Toolkit
99. ICML 2026Introspection Adapters: Training LLMs to Report Their Learned Behaviors
100. ICML 2026Is Data Shapley Not Better than Random in Data Selection? Ask NASH

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.