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Papers

Chameleon: An Adaptive AI-Driven Honeypot Architecture Using Threat-Calibrated Particle Swarm Optimization and Semantic Deception Rapidly-Exploring Random Trees
Date pendingRohit Swami, Tushar Singh, Akash Warde +1Honeypots Threat Models
CAT-GS: Balanced Multimodal Learning via Calibrated Gating and Fusion Surgery
Date pendingMahir Shahriar Tamim, Sharjil Khan, Md. Samiul Alim +3Robust Multimodal Learning Gradient Surgery
CLAP: Cross-Embodiment Video World Models are Zero-Shot Physical Simulators
Date pendingKechen Liu, Ola ShorinwaCross-Embodiment Transfer Video World Models
AdaVLA: Adaptive Step Flow Matching for Training-free Acceleration of Vision-Language-Action Models
Date pendingSunghwan Han, Youngtae Han, Youngmin YiFlow-Matching Vision-Language-Action Hierarchical Flow Matching
A Calibration Audit of Confidence in Feed-Forward 3D Reconstruction Models
Date pendingNanxing Nick Deng, Qing Cheng, Niclas Zeller +1Feed-Forward 3D Reconstruction Reconstruction Error
AtlasNLP: A Country-Aware Atlas of Dataset Representation in NLP
Date pendingJoan Nwatu, Tsedeniya Solomon Amare, Longju Bai +17Natural Language Datasets Legal Natural Language Processing Benchmarks
NSIDDx: A Design Framework for Neuro-Symbolic, Practitioner-First Differential Diagnosis in Low-Resource Settings
Date pendingAarav SinghNeuro-Symbolic Framework Natural Language Processing
Video2Reaction: Training Foundation Video Models to Predict Audience Reaction
Date pendingSidong Zhang, Trang Nguyen, Shiv Shankar +4Video Pretraining Videos
Catalogue Photography as a Cold Start: Toward Deployable Rotary Milling Tool Recognition
Date pendingAbilash Philip Madavath, Chandra Yuvesh Aubeeluck, Augustin Raju +3Computer Vision Domain Shift
Persistent Identity Preservation in Generative Image Models: A Benchmark and Evaluation System
Date pendingMengwei Ren, Xuaner Zhang, Zhihao XiaLarge-Scale Image Generation Identity
Distilled Continuous Diffusion Language Models Can Write Code in Few Steps---or One
Date pendingFred Zhangzhi Peng, Kaiwen Zheng, Anru R. ZhangCode Generation Diffusion Language Models
GIF: Agentic Generation of Interactive and Functional Object Compositions for Robot Learning
Date pendingLong Xu, Zhiqi Zhang, Mi Yan +8Indoor Scene Generation Articulated Objects
Decomposing LLM-Judge Uncertainty to Target Expert Labels
Date pendingRyan LailLarge Language Model Judges Large Language Model Uncertainty
Uni-Light: An Ultra-Lightweight Framework via Uncertainty-Aware Knowledge Distillation for Brain Tumour Segmentation
Date pendingLibing Kuang, Soren Salehi, Ziling Wu +2Brain Tumor Segmentation Magnetic Resonance Imaging
CGSM: Concept-Guided Segmentation Model for Precise Pulmonary Lesion Delineation
Date pendingChangheng Lin, Wenjie Zhang, Yushan Lu +3Lesion Segmentation Segmentation Model
Fine PT-PT Web: A High-Quality 41 Billion Tokens Data Collection of the European Portuguese Web
Date pendingGonçalo Vinagre, Rui Pedro Guerra, Pedro Gomes +7Text Corpora Portuguese
FastE: Readout-Triggered Token Compression for LLM Embedding Inference
Date pendingJinsong Shu, Jinyong Wen, Baokun Wang +4Large Language Model Compression LLM Inference Efficiency
Limitations of Automated Simulatability: LLM Simulators Can Bypass Explanations
Date pendingAntonin Poché, Fanny Jourdan, Nils Feldhus +6User Simulation Llm-Driven
Can Foundation Models Moderate Online Content? Evaluating Instruction- vs. Example-Driven Policy Operationalization
Date pendingAyan Majumdar, Shounak Paul, Pushpdeep Singh +6Content Moderation Wireless Foundation Models
Enabling Scalable Kinesthetic Teaching via Observer-based Hand-guiding with Active Support
Aug 11, 2026Anna Tuma, Giuseppe Monetti, Jochen J. Steil +1Dexterous Robot Hands Ground Reaction Forces
Physics-Informed Neural Operator for Warm-Starting Background-Decomposed and Preconditioned PSFD: Enabling Scalable 3-D EUV Mask Simulation
Jul 28, 2026Doyun Kim, Werner GillijnsLithography Cold-Start
Lightweight Probabilistic Downscaling from a Deterministic Base Model
Sep 24, 2026Joseph McLean, Tiffany Vlaar, Sigrid Passano Hellan +1Dynamical Downscaling Downstream Fine-Tuning
Synthesis and editing of multi-instrument audio mixtures using scalar-quantised latents with MIDI Span conditioning
Sep 22, 2026Sungkyun Chang, Keshav Bhandari, Simon Dixon +1
ScaleMPA: Rethinking Scalable RRT* Acceleration With a Grid-Native Representation
Sep 21, 2026Zilong Wang, Yuzhou Chen, Xinyue He +2Motion Planners
Bridging the Perceptual Gap: Residual-Enhanced Downscaling and Manifold-Aware Perception Alignment Adaptation for NR-IQA
Sep 15, 2026Yu Li, Zhengran Shen, Yachun Mi +2Image Quality Assessment Cross-Modal Alignment
Earth observation embeddings are effective sub-grid descriptors for probabilistic weather downscaling
Aug 12, 2026Pedro Sousa, Will Tebbutt, Sadiq Jaffer +3Dynamical Downscaling Precipitation
User-Assisted Collaborative Distributed Inference for Efficient QoS-Aware Autoscaling
Aug 12, 2026Alfreds Lapkovskis, Ali Beikmohammadi, Sindri Magnússon +1Rate Scaling Online Inference
MotionCraft: Latent World Modeling with Sparse Attention for Visual Upscaling
Aug 9, 2026Rong Fu, Chunlei Meng, Yangchen Zeng +9Pre-Trained Video Diffusion Models Latent World Models
Effective pruning of task-trained recurrent neural networks using noisy fluctuations and connection rescaling
Aug 5, 2026Sanjith Senthil, Rishidev ChaudhuriRecurrent Neural Networks Synaptic Plasticity
Domain-Adaptive Climate Downscaling Under Temporal Distribution Shift
Jul 6, 2026Shuochen Wang, Nishant Yadav, Auroop R. GangulyDynamical Downscaling Climate

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Chameleon: An Adaptive AI-Driven Honeypot Architecture Using Threat-Calibrated Particle Swarm Optimization and Semantic Deception Rapidly-Exploring Random Trees

Rohit Swami, Tushar Singh, Akash Warde, Sri Muthu

Traditional honeypots share an invariant behavioral profile: a skilled adversary can confirm the presence of a deception environment within a few diagnostic commands, limiting their intelligence value. Commercial deception products (USD 100,000-150,000/year) similarly lack real-time model-driven feedback. Chameleon, an openly distributed adaptive honeypot, addresses both shortcomings. It integrates: a BiLSTM classifier achieving 99.61% accuracy across seven threat categories at ~2 ms CPU latency; a locally deployed Qwen3.5-0.8B model delivering 90% generation accuracy at 4.5 ms latency; and two meta-heuristic engines. Threat-Calibrated PSO (TC-PSO) reshapes swarm inertia and objective amplification in proportion to the classifier's anomaly output, adjusting connection-holding delays in real time. Semantic Deception RRT (S-RRT) evolves deception schemas via exponentially scaled pheromone updates from a language-model severity assessment, with a depth-decay multiplier enforcing a finite memory footprint. A controlled 30-seed benchmark (42-71, identical trajectories and budgets) shows threat-calibrated inertia alone does not improve search over standard PSO on static or dynamic landscapes (p = 0.18); population-diversity mechanisms (GA/ACO) significantly outperform PSO-family optimizers on threat-regime shifts (p < 0.0001, d <= -37). S-RRT's depth-decay delivers a significant memory reduction versus standard RRT (53.1 vs. 119.2 units, p < 0.0001, d = -10.0); its severity-weighted pheromone does not improve raw fitness. Operating cost is ~USD 17/month, a ~490-fold reduction versus commercial alternatives.

Honeypots Threat Models Artificial Intelligence Detection Deception Particle Swarm Optimization Olfactory Perception

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