7 citations · 10 across the 11 of their papers we have counts for
12 papers
Right Direction, Wrong Step: Geometric Analysis of Finite-Step Failure in Looped Transformers
Zhihao Guo, Zonghan Wu, Haizhou Du +4
Looped Transformers offer a parameter-efficient route to test-time scaling by reusing shared layers for iterative latent reasoning. However, additional iterations can reduce suppor…
Black-Box Auditing of Quantum Model: Lifted Differential Privacy with Quantum Canaries
Baobao Song, Shiva Raj Pokhrel, Athanasios V. Vasilakos +2
Quantum machine learning (QML) promises significant computational advantages, yet models trained on sensitive data risk memorizing individual records, creating serious privacy vuln…
Experimental robustness benchmarking of quantum neural networks on a superconducting quantum processor
Hai-Feng Zhang, Zhao-Yun Chen, Peng Wang +17
Quantum machine learning (QML) models, like their classical counterparts, are vulnerable to adversarial attacks, hindering their secure deployment. Here, we report the first system…
Neural Brain: A Neuroscience-inspired Framework for Embodied Agents
Jian Liu, Xiongtao Shi, Thai Duy Nguyen +13
The rapid evolution of artificial intelligence (AI) has shifted from static, data-driven models to dynamic systems capable of perceiving and interacting with real-world environment…
Breaking BERT: Gradient Attack on Twitter Sentiment Analysis for Targeted Misclassification
Akil Raj Subedi, Taniya Shah, Aswani Kumar Cherukuri +1
Social media platforms like Twitter have increasingly relied on Natural Language Processing NLP techniques to analyze and understand the sentiments expressed in the user generated…
Towards A Hybrid Quantum Differential Privacy
Baobao Song, Shiva Raj Pokhrel, Athanasios V. Vasilakos +2
Quantum computing offers unparalleled processing power but raises significant data privacy challenges. Quantum Differential Privacy (QDP) leverages inherent quantum noise to safegu…
360SFUDA++: Towards Source-free UDA for Panoramic Segmentation by Learning Reliable Category Prototypes
Xu Zheng, Pengyuan Zhou, Athanasios V. Vasilakos +1
In this paper, we address the challenging source-free unsupervised domain adaptation (SFUDA) for pinhole-to-panoramic semantic segmentation, given only a pinhole image pre-trained…
Unsupervised Visible-Infrared ReID via Pseudo-label Correction and Modality-level Alignment
Yexin Liu, Weiming Zhang, Athanasios V. Vasilakos +1
Unsupervised visible-infrared person re-identification (UVI-ReID) has recently gained great attention due to its potential for enhancing human detection in diverse environments wit…
Blockchain for Energy Market: A Comprehensive Survey
Tianqi Jiang, Haoxiang Luo, Kun Yang +4
The energy market encompasses the behavior of energy supply and trading within a platform system. By utilizing centralized or distributed trading, energy can be effectively managed…
ClassLIE: Structure- and Illumination-Adaptive Classification for Low-Light Image Enhancement
Zixiang Wei, Yiting Wang, Lichao Sun +2
Low-light images often suffer from limited visibility and multiple types of degradation, rendering low-light image enhancement (LIE) a non-trivial task. Some endeavors have been re…
BC4LLM: Trusted Artificial Intelligence When Blockchain Meets Large Language Models
Haoxiang Luo, Jian Luo, Athanasios V. Vasilakos
In recent years, artificial intelligence (AI) and machine learning (ML) are reshaping society's production methods and productivity, and also changing the paradigm of scientific re…
360 High-Resolution Depth Estimation via Uncertainty-aware Structural Knowledge Transfer
Zidong Cao, Hao Ai, Athanasios V. Vasilakos +1
To predict high-resolution (HR) omnidirectional depth map, existing methods typically leverage HR omnidirectional image (ODI) as the input via fully-supervised learning. However, i…