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ORCIDCoRR, December 2023
- Akshansh Mishra:
Transport Equation based Physics Informed Neural Network to predict the Yield Strength of Architected Materials. - Wolfgang Kreuzer, Katharina Pollack, Fabian Brinkmann, Piotr Majdak:
NumCalc: An open source BEM code for solving acoustic scattering problems. - Evans Owusu, Mohamed Rahouti, D. Frank Hsu, Kaiqi Xiong, Yufeng Xin:
Enhancing ML-Based DoS Attack Detection Through Combinatorial Fusion Analysis. - Luisa D'Amore, Rosalba Cacciapuoti:
Space-Time Decomposition of Kalman Filter. - Rahul Vishwakarma, Amin Rezaei:
Risk-Aware and Explainable Framework for Ensuring Guaranteed Coverage in Evolving Hardware Trojan Detection. - Xinyang Lu, Martijn C. van Beurden, Qingbiao Wu:
Efficient calculation of the integral equation for simulating 2D TE scattering in a homogeneous medium using the Ewald method and a Gabor frame discretization. - Janez Komelj:
The Bivariate Normal Integral via Owen's T Function as a Modified Euler's Arctangent Series. - Anh Tran, Pieterjan Robbe, Theron Rodgers, Hojun Lim:
Multi-fidelity uncertainty quantification for homogenization problems in structure-property relationships from crystal plasticity finite elements. - Luis Felipe M. Ramos:
Biometric Technologies and the Law: Developing a Taxonomy for Guiding Policymakers. - Hanaa Zitane, Delfim F. M. Torres:
A class of fractional differential equations via power non-local and non-singular kernels: existence, uniqueness and numerical approximations. - Robinson Onyemechi Oturugbum:
Preserving The Safety And Confidentiality Of Data Mining Information In Health Care: A literature review. - Kai Diethelm, Safoura Hashemishahraki, Ha Duc Thai, Hoang The Tuan:
A constructive approach for investigating the stability of incommensurate fractional differential systems. - Mohammad Hamad, Sebastian Steinhorst:
Security Challenges in Autonomous Systems Design. - Gaëlle Candel:
The theoretical limits of biometry. - Santanu Saha Ray, Reema Gupta
:
A new numerical technique based on Chelyshkov polynomials for solving two-dimensional stochastic Itô-Volterra Fredholm integral equation. - Ashley Allen, Alexios Mylonas, Stilianos Vidalis:
Technical Report relating to CVE-2022-46480, CVE-2023-26941, CVE-2023-26942, and CVE-2023-26943. - Paula Martínez-Lera, Marco De Corato:
A finite element method for stochastic diffusion equations using fluctuating hydrodynamics. - Bill Kay, Sinan G. Aksoy, Molly Baird, Daniel M. Best, Helen Jenne, Cliff A. Joslyn, Christopher Potvin, Gregory Henselman-Petrusek, Garret Seppala, Stephen J. Young, Emilie Purvine:
Hypergraph Topological Features for Autoencoder-Based Intrusion Detection for Cybersecurity Data. - Kamel Alrashedy, Abdullah Aljasser:
Can LLMs Patch Security Issues? - Mu Yuan, Lan Zhang, Xiang-Yang Li:
Secure Transformer Inference. - João Paulo de Brito Gonçalves, Guilherme Emerick Sathler, Rodolfo da Silva Villaça:
A Quality-of-Service Compliance System using Federated Learning and Optimistic Rollups. - Yuanpu Cao, Bochuan Cao, Jinghui Chen:
Stealthy and Persistent Unalignment on Large Language Models via Backdoor Injections. - Declan S. Jagt, Matthew M. Peet:
Constructive Representation of Functions in N-Dimensional Sobolev Space. - Matthew T. Pisano, Peter Ly, Abraham Sanders, Bingsheng Yao, Dakuo Wang, Tomek Strzalkowski, Mei Si:
Bergeron: Combating Adversarial Attacks through a Conscience-Based Alignment Framework. - Hribhu Chowdhury, Debo Brata Paul Argha, Md Ashik Ahmed:
Artificial Intelligence in Sustainable Vertical Farming. - Laszlo B. Kish:
Crypto analysis of the key distribution scheme using noise-free resistances. - Maria Cuellar, Sheng Gao, Heike Hofmann:
Revolutionizing Forensic Toolmark Analysis: An Objective and Transparent Comparison Algorithm. - Ravi Kashyap:
DeFi Security: Turning The Weakest Link Into The Strongest Attraction. - Mounia Hamidouche, Eugeny Popko, Bassem Ouni:
Enhancing IoT Security via Automatic Network Traffic Analysis: The Transition from Machine Learning to Deep Learning. - Yang Li, Chunhe Xia, Wei Liu, Weidong Zhou, Chen Chen, Tianbo Wang:
FBChain: A Blockchain-based Federated Learning Model with Efficiency and Secure Communication. - Shourya Bose, Yu Zhang, Kibaek Kim:
Privacy-Preserving Load Forecasting via Personalized Model Obfuscation. - Forrest McKee, David Noever:
Acoustic Cybersecurity: Exploiting Voice-Activated Systems. - Prosenjit Chatterjee, Alex Yalchin, Joseph Shelton, Kaushik Roy, Xiaohong Yuan, Kossi D. Edoh:
Presentation Attack detection using Wavelet Transform and Deep Residual Neural Net. - Justin Spencer, Deborah Lawrence, Prosenjit Chatterjee, Kaushik Roy, Albert C. Esterline, Jung-Hee Kim:
Presentation Attack Detection using Convolutional Neural Networks and Local Binary Patterns. - Ben Cottier, Tamay Besiroglu, David Owen:
Who is leading in AI? An analysis of industry AI research. - Arisa Ema, Ryo Sato, Tomoharu Hase, Masafumi Nakano, Shinji Kamimura, Hiromu Kitamura:
Advancing AI Audits for Enhanced AI Governance. - Olamide Oladeji, Seyed Shahabeddin Mousavi, Marc Roston:
AI-driven E-Liability Knowledge Graphs: A Comprehensive Framework for Supply Chain Carbon Accounting and Emissions Liability Management. - Yossiri Adulyasak, Maxime C. Cohen, Warut Khern-am-nuai, Michael Krause:
Retail Analytics in the New Normal: The Influence of Artificial Intelligence and the Covid-19 Pandemic. - Rania Anwar Aboalela:
chatGPT for generating questions and assessments based on accreditations. - Yihao Li, Yanyi Lai, Tianchi Liao, Chuan Chen, Zibin Zheng:
Tokenized Model: A Blockchain-Empowered Decentralized Model Ownership Verification Platform. - Shengwei An, Sheng-Yen Chou, Kaiyuan Zhang, Qiuling Xu, Guanhong Tao, Guangyu Shen, Siyuan Cheng, Shiqing Ma, Pin-Yu Chen, Tsung-Yi Ho, Xiangyu Zhang:
Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift. - Soumya Banerjee, Sandip Roy, Sayyed Farid Ahamed, Devin Quinn, Marc Vucovich, Dhruv Nandakumar, Kevin Choi, Abdul Rahman, Edward Bowen, Sachin Shetty:
MIA-BAD: An Approach for Enhancing Membership Inference Attack and its Mitigation with Federated Learning. - Kamalakar Karlapalem:
A Case for Competent AI Systems - A Concept Note. - Rebeca P. Díaz Redondo, Ana Fernández Vilas, Mateo Ramos Merino, Sonia Valladares, Soledad Torres-Guijarro, Manar Mohamed Hafez:
Anti-Sexism Alert System: Identification of Sexist Comments on Social Media Using AI Techniques. - Eadom Dessalene, Michael Maynord, Cornelia Fermüller, Yiannis Aloimonos:
LEAP: LLM-Generation of Egocentric Action Programs. - Xiang Li, Qianli Shen, Kenji Kawaguchi:
Probabilistic Copyright Protection Can Fail for Text-to-Image Generative Models. - Guillaume Dujardin, Pauline Lafitte:
Uniform estimates for a fully discrete scheme integrating the linear heat equation on a bounded interval with pure Neumann boundary conditions. - Arthur Sarazin:
Open data ecosystems: what models to co-create service innovations in smart cities? - Chuan Guo, Yuxuan Mu, Muhammad Gohar Javed, Sen Wang, Li Cheng:
MoMask: Generative Masked Modeling of 3D Human Motions. - Eric Hedlin, Gopal Sharma, Shweta Mahajan, Xingzhe He, Hossam Isack, Abhishek Kar, Helge Rhodin, Andrea Tagliasacchi, Kwang Moo Yi:
Unsupervised Keypoints from Pretrained Diffusion Models. - Amir Rafe, Patrick A. Singleton:
Exploring Factors Affecting Pedestrian Crash Severity Using TabNet: A Deep Learning Approach. - Prashant Kumar, Kshitij Madhav Bhat, Vedang Bhupesh Shenvi Nadkarni, Prem Kalra:
GLiDR: Topologically Regularized Graph Generative Network for Sparse LiDAR Point Clouds. - Depanshu Sani, Sandeep Mahato, Sourabh Saini, Harsh Kumar Agarwal, Charu Chandra Devshali, Saket Anand, Gaurav Arora, Thiagarajan Jayaraman:
SICKLE: A Multi-Sensor Satellite Imagery Dataset Annotated with Multiple Key Cropping Parameters. - Aman Bhatta, Domingo Mery, Haiyu Wu, Kevin W. Bowyer:
CRAFT: Contextual Re-Activation of Filters for face recognition Training. - Shakiba Kheradmand, Daniel Rebain, Gopal Sharma, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi:
Accelerating Neural Field Training via Soft Mining. - Alameen Najjar:
Towards A Foundation Model For Trajectory Intelligence. - Xu Chen, Zida Cheng, Jiangchao Yao, Chen Ju, Weilin Huang, Jinsong Lan, Xiaoyi Zeng, Shuai Xiao:
Enhancing Cross-domain Click-Through Rate Prediction via Explicit Feature Augmentation. - Zhonghao Wang, Wei Wei, Yang Zhao, Zhisheng Xiao, Mark Hasegawa-Johnson, Humphrey Shi, Tingbo Hou:
HiFi Tuner: High-Fidelity Subject-Driven Fine-Tuning for Diffusion Models. - Wujian Peng, Sicheng Xie, Zuyao You, Shiyi Lan, Zuxuan Wu:
Synthesize, Diagnose, and Optimize: Towards Fine-Grained Vision-Language Understanding. - Pilhyeon Lee, Hyeran Byun:
BAM-DETR: Boundary-Aligned Moment Detection Transformer for Temporal Sentence Grounding in Videos. - Zhengyue Zhao, Jinhao Duan, Kaidi Xu, Chenan Wang, Rui Zhang, Zidong Du, Qi Guo, Xing Hu:
Can Protective Perturbation Safeguard Personal Data from Being Exploited by Stable Diffusion? - Yiwei Ma, Yijun Fan, Jiayi Ji, Haowei Wang, Xiaoshuai Sun, Guannan Jiang, Annan Shu, Rongrong Ji:
X-Dreamer: Creating High-quality 3D Content by Bridging the Domain Gap Between Text-to-2D and Text-to-3D Generation. - Lixiang Yan, Roberto Martínez Maldonado, Dragan Gasevic:
Generative Artificial Intelligence in Learning Analytics: Contextualising Opportunities and Challenges through the Learning Analytics Cycle. - Geethu Joseph, Chen Zhong, Mustafa Cenk Gursoy, Senem Velipasalar, Pramod K. Varshney:
Anomaly Detection via Learning-Based Sequential Controlled Sensing. - Nick Berlanger, Noah van Ophoven, Tim Verdonck, Ines Wilms:
Tree-based Forecasting of Day-ahead Solar Power Generation from Granular Meteorological Features. - Tim Ziemer:
Sound Terminology Describing Production and Perception of Sonification. - Chong Wang, Yuanhong Chen, Fengbei Liu, Davis James McCarthy, Helen Frazer, Gustavo Carneiro:
Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable Image Classification. - Gege Gao, Weiyang Liu, Anpei Chen, Andreas Geiger, Bernhard Schölkopf:
GraphDreamer: Compositional 3D Scene Synthesis from Scene Graphs. - Zhenyu Zhou, Defang Chen, Can Wang, Chun Chen:
Fast ODE-based Sampling for Diffusion Models in Around 5 Steps. - Zifan Ning, Min Jin:
Textual-Knowledge-Guided Numerical Feature Discovery Method for Power Demand Forecasting. - Tom Tongjia Chen, Hongshan Yu, Zhengeng Yang, Zechuan Li, Wei Sun, Chen Chen:
OST: Refining Text Knowledge with Optimal Spatio-Temporal Descriptor for General Video Recognition. - Chen Long, Wenxiao Zhang, Zhe Chen, Haiping Wang, Yuan Liu, Zhen Cao, Zhen Dong, Bisheng Yang:
SparseDC: Depth Completion from sparse and non-uniform inputs. - Mahendran Narayanan:
Identifying tourist destinations from movie scenes using Deep Learning. - Jianxiong Guo:
Online Influence Maximization: Concept and Algorithm. - Stephen Bothwell, Justin DeBenedetto, Theresa Crnkovich, Hildegund Müller, David Chiang:
Introducing Rhetorical Parallelism Detection: A New Task with Datasets, Metrics, and Baselines. - Bonifaz Stuhr:
Towards Unsupervised Representation Learning: Learning, Evaluating and Transferring Visual Representations. - (Withdrawn) FedEmb: A Vertical and Hybrid Federated Learning Algorithm using Network And Feature Embedding Aggregation.
- Xiaolong Tu, Anik Mallik, Haoxin Wang, Jiang (Linda) Xie:
DeepEn2023: Energy Datasets for Edge Artificial Intelligence. - Feilin Han, Zhaoxu Meng:
A Metadata Generation System with Semantic Understanding for Video Retrieval in Film Production. - Saurabh Farkya, Aswin Raghavan, Avi Ziskind:
Improving the Robustness of Quantized Deep Neural Networks to White-Box Attacks using Stochastic Quantization and Information-Theoretic Ensemble Training. - Tao Lu, Mulin Yu, Linning Xu, Yuanbo Xiangli, Limin Wang, Dahua Lin, Bo Dai:
Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering. - Rémi Kazmierczak, Eloïse Berthier, Goran Frehse, Gianni Franchi:
CLIP-QDA: An Explainable Concept Bottleneck Model. - Viggo Moro, Charlotte Loh, Rumen Dangovski, Ali Ghorashi, Andrew Ma, Zhuo Chen, Peter Y. Lu, Thomas Christensen, Marin Soljacic:
Multimodal Learning for Crystalline Materials. - Agelos Kratimenos, Jiahui Lei, Kostas Daniilidis:
DynMF: Neural Motion Factorization for Real-time Dynamic View Synthesis with 3D Gaussian Splatting. - Ziyun Wang, Friedhelm Hamann, Kenneth Chaney, Wen Jiang, Guillermo Gallego, Kostas Daniilidis:
Event-based Continuous Color Video Decompression from Single Frames. - Ziyun Wang, Jinyuan Guo, Kostas Daniilidis:
Un-EvMoSeg: Unsupervised Event-based Independent Motion Segmentation. - Matthew Gwilliam, Michael Cogswell, Meng Ye, Karan Sikka, Abhinav Shrivastava, Ajay Divakaran:
A Video is Worth 10, 000 Words: Training and Benchmarking with Diverse Captions for Better Long Video Retrieval. - Or Greenberg, Eran Kishon, Dani Lischinski:
S2ST: Image-to-Image Translation in the Seed Space of Latent Diffusion. - Steven DiSilvio, Anthony Ozerov, Leon Zhou:
Pedaling, Fast and Slow: The Race Towards an Optimized Power Strategy. - Meera Hahn, Amit Raj, James M. Rehg:
Which way is 'right'?: Uncovering limitations of Vision-and-Language Navigation model. - Wenjing Chen, Shuo Xing, Victoria G. Crawford:
A Threshold Greedy Algorithm for Noisy Submodular Maximization. - Benjamin Schneider, Nils Lukas, Florian Kerschbaum:
Universal Backdoor Attacks. - Erik Chi, Gaukas Wang, J. Alex Halderman, Eric Wustrow, Jack Wampler:
Just add WATER: WebAssembly-based Circumvention Transports. - Daniel McDuff, Mike Schaekermann, Tao Tu, Anil Palepu, Amy Wang, Jake Garrison, Karan Singhal, Yash Sharma, Shekoofeh Azizi, Kavita Kulkarni, Le Hou, Yong Cheng, Yun Liu, S. Sara Mahdavi, Sushant Prakash, Anupam Pathak, Christopher Semturs, Shwetak N. Patel, Dale R. Webster, Ewa Dominowska, Juraj Gottweis, Joelle K. Barral, Katherine Chou, Gregory S. Corrado, Yossi Matias, Jake Sunshine, Alan Karthikesalingam, Vivek Natarajan:
Towards Accurate Differential Diagnosis with Large Language Models. - Shaina Raza:
Navigating News Narratives: A Media Bias Analysis Dataset. - Reza Kakavand, Mehrdad Palizi, Peyman Tahghighi, Reza Ahmadi, Neha Gianchandani, Samer Adeeb, Roberto Souza, W. Brent Edwards, Amin Komeili:
Integration of Swin UNETR and statistical shape modeling for a semi-automated segmentation of the knee and biomechanical modeling of articular cartilage. - Zhou Lu:
Non-uniform Online Learning: Towards Understanding Induction. - Cliff B. Jones, Alan Burns:
Extending Rely-Guarantee thinking to handle Real-Time Scheduling. - Benjamin Carrel, Bart Vandereycken:
Projected exponential methods for stiff dynamical low-rank approximation problems. - Bilel Tarchoun, Quazi Mishkatul Alam, Nael B. Abu-Ghazaleh, Ihsen Alouani:
Fool the Hydra: Adversarial Attacks against Multi-view Object Detection Systems. - Ali Leylavi Shoushtari:
Advances in soft grasping in agriculture. - Rajat Bhattacharjya, Alish Kanani, Achanna Anil Kumar, Manoj Nambiar, M. Girish Chandra, Rekha Singhal:
Ellora: Exploring Low-Power OFDM-based Radar Processors using Approximate Computing. - Emanuele Cavalleri, Alberto Cabri, Mauricio Soto Gomez, Sara Bonfitto, Paolo Perlasca, Jessica Gliozzo, Tiffany J. Callahan, Justin T. Reese, Peter N. Robinson, Elena Casiraghi, Giorgio Valentini, Marco Mesiti:
RNA-KG: An ontology-based knowledge graph for representing interactions involving RNA molecules. - Anusha Guruprasad:
Galaxy Classification: A machine learning approach for classifying shapes using numerical data. - Naga Venkata Sai Raviteja Chappa, Pha A. Nguyen, Page Daniel Dobbs, Khoa Luu:
REACT: Recognize Every Action Everywhere All At Once. - Farhan Tanvir, Khaled Mohammed Saifuddin, Tanvir Hossain, Arunkumar Bagavathi, Esra Akbas:
HeTriNet: Heterogeneous Graph Triplet Attention Network for Drug-Target-Disease Interaction. - Renos Zabounidis, Ini Oguntola, Konghao Zhao, Joseph Campbell, Simon Stepputtis, Katia P. Sycara:
Benchmarking and Enhancing Disentanglement in Concept-Residual Models. - Aleksandar Minja, Vojin Senk:
SISO Decoding of Z4 Linear Kerdock and Preparata Codes. - Somnath Basu Roy Chowdhury, Nicholas Monath, Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi:
Robust Concept Erasure via Kernelized Rate-Distortion Maximization. - Davide Cozzolino, Giovanni Poggi, Riccardo Corvi, Matthias Nießner, Luisa Verdoliva:
Raising the Bar of AI-generated Image Detection with CLIP. - Jeremy McMahan, Young Wu, Xiaojin Zhu, Qiaomin Xie:
Optimal Attack and Defense for Reinforcement Learning. - Igor Gaidai, Rebekah Herrman:
Performance Analysis of Multi-Angle QAOA for p > 1. - Eleni Dimitriadou, Andreas Lanitis:
An integrated framework for developing and evaluating an automated lecture style assessment system. - Kunyi Li, Michael Niemeyer, Nassir Navab, Federico Tombari:
DNS SLAM: Dense Neural Semantic-Informed SLAM. - Haolin Xiong, Sairisheek Muttukuru, Rishi Upadhyay, Pradyumna Chari, Achuta Kadambi:
SparseGS: Real-Time 360° Sparse View Synthesis using Gaussian Splatting. - Chengjie Lu, Shaukat Ali, Tao Yue:
EpiTESTER: Testing Autonomous Vehicles with Epigenetic Algorithm and Attention Mechanism. - Vincent Roulet, Atish Agarwala, Fabian Pedregosa:
On the Interplay Between Stepsize Tuning and Progressive Sharpening. - Jinxin Zhou, Tianyu Ding, Tianyi Chen, Jiachen Jiang, Ilya Zharkov, Zhihui Zhu, Luming Liang:
DREAM: Diffusion Rectification and Estimation-Adaptive Models. - Isidora Chara Tourni, Derry Wijaya:
Relevance-guided Neural Machine Translation. - Jean-François Tremblay, David Meger, Francois Robert Hogan, Gregory Dudek:
Learning active tactile perception through belief-space control. - Fekede Asefa Kumsa, Rameshwari Prasad, Arash Shaban-Nejad:
Medication abortion via digital health in the United States: a systematic scoping review. - Yajun Zhao:
Cascaded Channel Decoupling Based Solution for RIS Regulation Matrix. - Linzi Xing, Quan Hung Tran, Fabian Caba, Franck Dernoncourt, Seunghyun Yoon, Zhaowen Wang, Trung Bui, Giuseppe Carenini:
Multi-Modal Video Topic Segmentation with Dual-Contrastive Domain Adaptation. - Imane Koulali, Mustafa Taner Eskil:
Unsupervised textile defect detection using convolutional neural networks. - Ergun Akleman, Alan Freed:
Multi-Axis and Multi-Vector Gradient Estimations: Using Multi-Sampled Complex Unit Vectors to Estimate Gradients of Real Functions.