| Self-supervised Adversarial Purification for Graph Neural Networks | Data & benchmarks | Woohyun Lee +1 | May 22, 2026 | — |
| WMAttack: Automated Attack Search for Adversarial Evaluation of World-Model Agents | Image & video gen | Zhixiang Guo +6 | May 22, 2026 | — |
| Any-Dimensional Invariant Universality | Other | Shengtai Yao +2 | May 22, 2026 | — |
| CALAD: Channel-Aware contrastive Learning for multivariate time series Anomaly Detection | Vision & multimodal | Jaehyeop Hong +1 | May 22, 2026 | — |
| Classical State Preparation for Variational Quantum Algorithms via Reinforcement Learning | Agents | Gino Kwun +2 | May 22, 2026 | — |
| Dithering Defense: Adversarial Robustness of Vision Foundation Models via Multi-Level Floyd-Steinberg Dithering | Image & video gen | Yury Belousov +3 | May 21, 2026 | — |
| The Value of Covariance Matching in Gaussian DDPMs and the Lanczos Sampler | Data & benchmarks | Md Sahil Akhtar +3 | May 21, 2026 | — |
| From Baseline to Follow-Up: Counterfactual Spine DXA Image Synthesis in UK Biobank Using a Causal Hierarchical Variational Autoencoder | Image & video gen | Yilin Zhang +3 | May 21, 2026 | — |
| Dynamic Hypergraph Representation Learning for Multivariate Time Series without Prior Knowledge | Vision & multimodal | Marco Gregnanin +3 | May 21, 2026 | — |
| A Posterior-Predictive Variance Decomposition for Epistemic and Aleatoric Uncertainty in Wind Power Forecasting | Data & benchmarks | Yinsong Chen +2 | May 21, 2026 | — |
| VeriScale: Adversarial Test-Suite Scaling for Verifiable Code Generation | Code | Yifan Bai +9 | May 21, 2026 | — |
| Adversarial Trust Poisoning in Vehicular Collaborative Perception | Vision & multimodal | Yutong Liu +3 | May 21, 2026 | — |
| Prototype-Guided Classification Sub-Task Decoupling Framework: Enhancing Generalization and Interpretability for Multivariate Time Series | Safety & alignment | Xianhao Song +4 | May 21, 2026 | — |
| CASE-NET: Deep Spatio-Temporal Representation Learning via Causal Attention and Channel Recalibration for Multivariate Time Series Classification | Data & benchmarks | Fan Zhang +2 | May 21, 2026 | — |
| Toward Understanding Adversarial Distillation: Why Robust Teachers Fail | Safety & alignment | Hongsin Lee +1 | May 21, 2026 | — |
| CCLab: Adversarial Testing of Learning- and Non-Learning-Based Congestion Controllers | Agents | Zhi Chen +4 | May 21, 2026 | — |
| Causal Discovery in Structural VAR Models Under Equal Noise Variance | Safety & alignment | SeyedSina Seyedi HasanAbadi +3 | May 21, 2026 | — |
| Hierarchical Variational Policies for Reward-Guided Diffusion | Image & video gen | Kushagra Pandey +4 | May 20, 2026 | — |
| Variance Reduction for Expectations with Diffusion Teachers | Image & video gen | Jesse Bettencourt +4 | May 20, 2026 | — |
| Velocityformer: Broken-Symmetry-Matched Equivariant Graph Transformers for Cosmological Velocity Reconstruction | Safety & alignment | Tilman Tröster +3 | May 20, 2026 | — |
| Q-SYNTH: Hybrid Quantum-Classical Adversarial Augmentation for Imbalanced Fraud Detection | Image & video gen | Adam Innan +4 | May 20, 2026 | — |
| Expectation Consistency Loss: Rethink Confidence Calibration under Covariate Shift | Safety & alignment | Jinzong Dong +2 | May 20, 2026 | — |
| Local Covariate Selection for Average Causal Effect Estimation without Pretreatment and Causal Sufficiency Assumptions | Speech & audio | Zeyu Liu +5 | May 20, 2026 | — |
| Towards Context-Invariant Safety Alignment for Large Language Models | Safety & alignment | Yixu Wang +6 | May 20, 2026 | — |
| Frequency-Domain Regularized Adversarial Alignment for Transferable Attacks against Closed-Source MLLMs | Vision & multimodal | Leitao Yuan +7 | May 20, 2026 | — |
| EPC-3D-Diff: Equivariant Physics Consistent Conditional 3D Latent Diffusion for CBCT to CT Synthesis | Image & video gen | Alzahra Altalib +5 | May 19, 2026 | — |
| Group-Algebraic Tensors: Provably-optimal Equivariant Learning and Physical Symmetry Discovery | Safety & alignment | Paulina Hoyos +7 | May 19, 2026 | — |
| OSCToM: RL-Guided Adversarial Generation for High-Order Theory of Mind | Agents | Sharmin Sultana Srishty +4 | May 19, 2026 | — |
| Score-Based Causal Discovery of Latent Variable Causal Models | Other | Ignavier Ng +5 | May 19, 2026 | — |
| Causal Unlearning in Collaborative Optimization: Exact and Approximate Influence Reversal under Adversarial Contributions | Safety & alignment | Ali Mahdavi +3 | May 19, 2026 | — |
| Detecting Fluent Optimization-Based Adversarial Prompts via Sequential Entropy Changes | Vision & multimodal | Mohammed Alshaalan +1 | May 19, 2026 | — |
| GEM: GPU-Variability-Aware Expert to GPU Mapping for MoE Systems | Efficiency & systems | Sourish Wawdhane +2 | May 19, 2026 | — |
| Variance-Reduced Manifold Sampling via Polynomial-Maximization Density Estimation | Other | Serhii Zabolotnii | May 19, 2026 | — |
| Passive Construction Site Safety Monitoring via Persona-Scaffolded Adversarial Chain-of-Thought VLM Verification | Vision & multimodal | Ananth Sriram +2 | May 19, 2026 | — |
| Latent Laplace Diffusion for Irregular Multivariate Time Series | Image & video gen | Zinuo You +2 | May 19, 2026 | — |
| Minimax Optimal Variance-Aware Regret Bounds for Multinomial Logistic MDPs | Reinforcement learning | Pierre Boudart +2 | May 19, 2026 | — |
| Probabilistic Multivariate Time Series Forecasting with Diffusion Copulas | Image & video gen | David Huk +2 | May 19, 2026 | — |
| LLMEval-Logic: A Solver-Verified Chinese Benchmark for Logical Reasoning of LLMs with Adversarial Hardening | Data & benchmarks | Ming Zhang +15 | May 19, 2026 | — |
| Multi-Head Attention as Ensemble Nadaraya-Watson Estimation: Variance Reduction, Decorrelation, and Optimal Head Diversity | Agents | Ernest Fokoué | May 18, 2026 | — |
| A Readiness-Driven Runtime for Pipeline-Parallel Training under Runtime Variability | Vision & multimodal | Ruitao Liu +6 | May 18, 2026 | — |
| A No-Defense Defense Against Gradient-Based Adversarial Attacks on ML-NIDS: Is Less More? | Vision & multimodal | Mohamed elShehaby +1 | May 18, 2026 | — |
| Physics-Aligned Canonical Equivariant Fourier Neural Operator under Symmetry-Induced Shifts | Safety & alignment | Jiaxiao Xu +3 | May 18, 2026 | — |
| Scale-Invariant Neural Network Optimization: Norm Geometry and Heavy-Tailed Noise | Theory | Jiayu Zhang +1 | May 18, 2026 | — |
| Building Reliable Arithmetic Multipliers Under NBTI Aging and Process Variations | Safety & alignment | Masoud Heidary +1 | May 18, 2026 | — |
| Generative Adversarial Learning from Deterministic Processes | Theory | Joris C. Kühl +1 | May 18, 2026 | — |
| A Simplex Witness Certificate for Constant Collapse in Variational Autoencoders | Code | Zegu Zhang +2 | May 18, 2026 | — |
| POST: Prior-Observation Adversarial Learning of Spatio-Temporal Associations for Multivariate Time Series Anomaly Detection | Vision & multimodal | Suofei Zhang +2 | May 18, 2026 | — |
| New Insight of Variance reduce in Zero-Order Hard-Thresholding: Mitigating Gradient Error and Expansivity Contradictions | Theory | Xinzhe Yuan +3 | May 18, 2026 | — |
| Interaction-Breaking Adversarial Learning Framework for Robust Multi-Agent Reinforcement Learning | Agents | Sunwoo Lee +3 | May 18, 2026 | — |
| MoCo-EA: Exploiting Adversarial Mode Connectivity for Efficient Evolutionary Attacks | Theory | Hyo Seo Kim +5 | May 18, 2026 | — |
| Universal Adversarial Triggers | Speech & audio | Benedict Florance Arockiaraj +3 | May 18, 2026 | — |
| Learning Variable-Length Tokenization for Generative Recommendation | Code | Minhao Wang +2 | May 18, 2026 | — |
| Self-Distillation is Optimal Among Spectral Shrinkage Estimators in Spiked Covariance Models | Efficiency & systems | Radu Lecoiu +2 | May 18, 2026 | — |
| OSCAR: Offline Spectral Covariance-Aware Rotation for 2-bit KV Cache Quantization | Code | Zhongzhu Zhou +6 | May 18, 2026 | — |
| Multi-task learning on partially labeled datasets via invariant/equivariant semi-supervised learning | Vision & multimodal | Miquel Martí i Rabadán +3 | May 17, 2026 | — |
| Scale-Equivariant Generative Forecasting: Weight-Tied Dilated Convolutions, Wavelet Scattering Inputs, and Spectral-Consistency Training for Self-Similar Time Series | Safety & alignment | Andrea Morandi | May 17, 2026 | — |
| Variational Diffusion Channel Decoder | Image & video gen | Chengwei Zhang +2 | May 17, 2026 | — |
| A Logistic Regression Model to Predict Malaria Severity in Children | Agents | Mary Opokua Ansong +2 | May 17, 2026 | — |
| NewsLens: A Multi-Agent Framework for Adversarial News Bias Navigation | Robotics | Joy Bose | May 17, 2026 | — |
| KG-ASG: Collision-Knowledge-Guided Closed-Loop Adversarial Scenario Generation With Primary-Support Attribution | Safety & alignment | Cheng Wang +4 | May 17, 2026 | — |
| When Efficiency Backfires: Cascading LLMs Trigger Cascade Failure under Adversarial Attack | Robotics | Zehan Sun +2 | May 17, 2026 | — |
| A Hybrid Gaussian Process Regression Framework for Stable Volatility-Covariance Estimation: Evidence from Global Equity Indices | Data & benchmarks | Ujjwala Vadrevu | May 17, 2026 | — |
| Anytime PAC-Bayes for Constrained Density-Ratio Networks under Covariate Shift | Safety & alignment | Paulo Akira F. Enabe | May 17, 2026 | — |
| The Geometry of Projection Heads: Conditioning, Invariance, and Collapse | Theory | Faris Chaudhry | May 16, 2026 | — |
| Adversarial Fragility and Language Vulnerability in Clinical AI: A Systematic Audit of Diagnostic Collapse Under Imperceptible Perturbations and Cross-Lingual Drift in Low-Resource Healthcare Settings | Safety & alignment | Anthonio Oladimeji Gabriel +1 | May 16, 2026 | — |
| AIM: Adversarial Information Masking for Faithfulness Evaluation of Saliency Maps | Speech & audio | Chia-Ying Hsieh +2 | May 16, 2026 | — |
| Tensor Channel Equivariant Graph Neural Networks for Molecular Polarizability Prediction | Efficiency & systems | Jean Philip Filling +2 | May 16, 2026 | — |
| HYVINT: Intensity-Driven Hypergraph Generation with Variational Representations | Efficiency & systems | Xinyi Hong +2 | May 16, 2026 | — |
| Prediction-Intervention Games and Invariant Sets | Theory | Linus Kühne +2 | May 16, 2026 | — |
| Multi-Paradigm Agent Interaction in Practice:A Systematic Analysis of Generator-Evaluator, ReAct Loop,and Adversarial Evaluation in the buddyMe Framework | Agents | Xiaohua Wang +4 | May 16, 2026 | — |
| FIM-LoRA: Task-Informative Rank Allocation for LoRA via Calibration-Time Gradient-Variance Estimation | Safety & alignment | Ramakrishnan Sathyavageeswaran | May 16, 2026 | — |
| TIER: Trajectory-Invariant Execution Rewards for Multi-Step Tool Composition | Agents | Anay Kulkarni +5 | May 16, 2026 | — |
| Compositional Adversarial Training for Robust Visual Watermarking | Vision & multimodal | Anirudh Satheesh +6 | May 16, 2026 | — |
| GraViti: Graph-Level Variational Autoencoders with Relaxed Permutation Invariance | Code | Roman Bresson +4 | May 15, 2026 | — |
| PRISMat: Policy-Driven, Permutation-Invariant Autoregressive Material Generation | Efficiency & systems | Claire Schlesinger +3 | May 15, 2026 | — |
| Context, Reasoning, and Hierarchy: A Cost-Performance Study of Compound LLM Agent Design in an Adversarial POMDP | Agents | Igor Bogdanov +5 | May 15, 2026 | — |
| Second-Order Multi-Level Variance Correction for Modality Competition in Multimodal Models | Image & video gen | Yishun Lu +1 | May 15, 2026 | — |
| SAFE Quantum Machine Learning with Variational Quantum Classifiers | Code | Ying Chen +3 | May 15, 2026 | — |
| Variational Autoregressive Networks with probability priors | Science & bio | Piotr Białas +3 | May 15, 2026 | — |
| Testing properties of trees in graphical models with covariance queries | Theory | Sofiya Burova +3 | May 15, 2026 | — |
| Entropy-Based Characterisation of the Polarised Regime in Latent Variable Models | Theory | Peter Clapham +2 | May 15, 2026 | — |
| When and Why Adversarial Training Improves PINNs: A Neural Tangent Kernel Perspective | Safety & alignment | Yuan-dong Cao +3 | May 15, 2026 | — |
| DarkLLM: Learning Language-Driven Adversarial Attacks with Large Language Models | Vision & multimodal | Ye Sun +9 | May 15, 2026 | — |
| Continual Learning of Domain-Invariant Representations | Vision & multimodal | Pascal Janetzky +2 | May 15, 2026 | — |
| Lamarckian Inheritance in Dynamic Environments: How Key Variables Affect Evolutionary Dynamics | Robotics | K. Ege de Bruin +2 | May 15, 2026 | — |
| ALSO: Adversarial Online Strategy Optimization for Social Agents | Agents | Xiang Li +5 | May 15, 2026 | — |
| AGOP-IxG: A Gradient Covariance Filter for Local Feature Attribution on Tabular Data, with a Controlled Benchmark | Efficiency & systems | Raj Kiran Gupta Katakam | May 15, 2026 | — |
| Unified High-Probability Analysis of Stochastic Variance-Reduced Estimation | Safety & alignment | Zhankun Luo +5 | May 14, 2026 | — |
| Beyond Bounded Variance: Variance-Reduced Normalized Methods for Nonconvex Optimization under Blum-Gladyshev Noise | Theory | Antesh Upadhyay +2 | May 14, 2026 | — |
| CoCo-InEKF: State Estimation with Learned Contact Covariances in Dynamic, Contact-Rich Scenarios | Robotics | Michael Baumgartner +6 | May 14, 2026 | — |
| Learning from Language Feedback via Variational Policy Distillation | Code | Yang Li +3 | May 14, 2026 | — |
| WARD: Adversarially Robust Defense of Web Agents Against Prompt Injections | Vision & multimodal | Tri Cao +10 | May 14, 2026 | — |
| Predicting Response to Neoadjuvant Chemotherapy in Ovarian Cancer from CT Baseline Using Multi-Loss Deep Learning | Efficiency & systems | Francesco Pastori +10 | May 14, 2026 | — |
| Road Maps as Free Geometric Priors: Weather-Invariant Drone Geo-Localization with GeoFuse | Safety & alignment | Yunsong Fang +2 | May 14, 2026 | — |
| Your CLIP has 164 dimensions of noise: Exploring the embeddings covariance eigenspectrum of contrastively pretrained vision-language transformers | Vision & multimodal | Jakub Grzywaczewski +2 | May 14, 2026 | — |
| Fast Adversarial Attacks with Gradient Prediction | Safety & alignment | Kamil Ciosek +3 | May 14, 2026 | — |
| Enabling Adversarial Robustness in AI Models through Kubeflow MLOps | Efficiency & systems | Stavros Bouras +3 | May 14, 2026 | — |
| DRL-STAF: A Deep Reinforcement Learning Framework for State-Aware Forecasting of Complex Multivariate Hidden Markov Processes | Reinforcement learning | Manrui Jiang +3 | May 14, 2026 | — |
| MahaVar: OOD Detection via Class-wise Mahalanobis Distance Variance under Neural Collapse | Vision & multimodal | Donghwan Kim +1 | May 14, 2026 | — |
| TILT: Target-induced loss tilting under covariate shift | Efficiency & systems | Kakei Yamamoto +1 | May 14, 2026 | — |