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๐Ÿ” gino chacon ๐Ÿ“‚ Computer Science
Showing 1568 results for "gino chacon" in Computer Science
Computer Science Preprint PDF DOI

Feature-Centric Methodology for Analyzing Cross-Chain NFT Migration Compatibility

Mohd Sameen Chishti, Damilare Peter Oyinloye, Jingyue Li ยท 2026

Cross-chain NFT migration refers to the process of transferring digital assets along with their associated functionalities and guarantees between distinct blockchain platforms. However, architectural โ€ฆ

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Computer Science Preprint PDF DOI

Test Before You Deploy: Governing Updates in the LLM Supply Chain

Mohd Sameen Chishti, Damilare Peter Oyinloye, Jingyue Li ยท 2026

Large Language Models (LLMs) are increasingly used as core dependencies in software systems. However, the hosted LLM services evolve continuously through provider-side updates without explicit versionโ€ฆ

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Computer Science Preprint PDF DOI

The Grand Software Supply Chain of AI Systems

Carmine Cesarano, Martin Monperrus ยท 2026

AI systems rest on software with low integrity mechanisms, leaving AI systems exposed across every stage from data acquisition to final inference. This paper makes the AI supply chain a first-class obโ€ฆ

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Computer Science Preprint PDF DOI

Secret Stealing Attacks on Local LLM Fine-Tuning through Supply-Chain Model Code Backdoors

Zi Li, Tian Zhou, Wenze Li, Jingyu Hua, Yunlong Mao, Sheng Zhong ยท 2026

Local fine-tuning datasets routinely contain sensitive secrets such as API keys, personal identifiers, and financial records. Although ''local offline fine-tuning'' is often viewed as a privacy boundaโ€ฆ

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Computer Science Preprint PDF DOI

Harmonizing Generative Retrieval and Ranking in Chain-of-Recommendation

Yu Liu, Jiangxia Cao ยท 2026

Generative recommender systems have recently emerged as a promising paradigm by formulating next-item prediction as an auto-regressive semantic IDs generation, such as OneRec series works. However, wiโ€ฆ

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Computer Science Preprint PDF DOI

R-CoT: A Reasoning-Layer Watermark via Redundant Chain-of-Thought in Large Language Models

Ziming Zhang, Li Li, Guorui Feng, Hanzhou Wu, Xinpeng Zhang ยท 2026

Large language models (LLMs) are widely deployed in multiple scenarios due to reasoning capabilities. In order to prevent the models from being misused, watermarking is generally employed to ensure owโ€ฆ

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Computer Science Preprint PDF DOI

Network Impact of Post-Quantum Certificate Chain sizes on Time to First Byte in TLS Deployments

Matthew Chou, Phuong Cao ยท 2026

Post-Quantum Cryptography (PQC) is a rapidly growing deployment challenge as cryptographically relevant quantum computers (CRQC) continue to advance, leaving traditional cryptographic algorithms used โ€ฆ

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FGDM: Reasoning Aware Multi-Agentic Framework for Software Bug Detection using Chain of Thought and Tree of Thought Prompting

Srita Padmanabhuni, Bhargavi Karuturi, Jerusha Karen Indupalli, Santhan Reddy Chilla, Vivek Yelleti ยท 2026

Deep Learning methods are becoming prominent in automated software bug detection; however, they lack the global understanding of the given code. Consequently, their performance tends to degrade, especโ€ฆ

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Computer Science Preprint PDF DOI

ARCANE: Cross-Campaign Attacker Re-identification via Passive Beacon Telemetry -- A Bayesian Network Framework for Longitudinal Cyber Attribution

Abraham Itzhak Weinberg ยท 2026

Current cyber attribution approaches typically operate on a per-incident basis, leaving open whether aggregating evidence across campaigns improves adversary identification. We investigate whether croโ€ฆ

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Measuring the Unmeasurable: Markov Chain Reliability for LLM Agents

Phat T. Tran-Truong, Xuan-Bach Le ยท 2026

Large language model (LLM) agents increasingly operate as sequential software systems, but their reliability is often summarized by scalar benchmark metrics. Metrics such as pass$@k$, pass$^k$, and thโ€ฆ

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GoAT-X: A Graph of Auditing Thoughts for Securing Token Transactions in Cross-Chain Contracts

Zijun Feng, Yuming Feng, Yu Wang, Weizhe Zhang, Yuhong Nan, Yuang Liu, Zibin Zheng ยท 2026

Cross-chain bridges, the critical infrastructure of the multi-chain ecosystem, have become a primary target for attackers, resulting in over $2.8 billion in losses due to subtle implementation flaws. โ€ฆ

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SeqShield: A Behavioral Analysis Approach to Uncover Rootkits

Paras Ghodeshwar, Sandeep K Shukla, Anand Handa, Nitesh Kumar ยท 2026

Rootkits are among the most elusive types of malware, capable of bypassing traditional static analysis methods due to their metamorphic behavior. Signature-based detection techniques struggle against โ€ฆ

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How Supply Chain Dependencies Complicate Bias Measurement and Accountability Attribution in AI Hiring Applications

Gauri Sharma, Maryam Molamohammadi ยท 2026

The increasing adoption of AI systems in hiring has raised concerns about algorithmic bias and accountability, prompting regulatory responses including the EU AI Act, NYC Local Law 144, and Colorado'sโ€ฆ

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Computer Science Preprint PDF DOI

Call-Chain-Aware LLM-Based Test Generation for Java Projects

Guancheng Wang, Qinghua Xu, Lionel C. Briand, Zhaoqiang Guo, Kui Liu ยท 2026

Large language models (LLMs) have recently shown strong potential for generating project-level unit tests. However, existing state-of-the-art approaches primarily rely on execution-path information toโ€ฆ

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Nearly Optimal Bounds for Computing Decision Tree Splits in Data Streams

Hoang Ta, Hoa T. Vu ยท 2026

We establish nearly optimal upper and lower bounds for approximating decision tree splits in data streams. For regression with labels in the range $\{0,1,\ldots,M\}$, we give a one-pass algorithm usinโ€ฆ

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STK-Adapter: Incorporating Evolving Graph and Event Chain for Temporal Knowledge Graph Extrapolation

Shuyuan Zhao, Wei Chen, Weijie Zhang, Xinrui Hou, Junfeng Shen, Boyan Shi, Shengnan Guo, Youfang Lin, Huaiyu Wan ยท 2026

Temporal Knowledge Graph (TKG) extrapolation aims to predict future events based on historical facts. Recent studies have attempted to enhance TKG extrapolation by integrating TKG's evolving structuraโ€ฆ

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CHICO-Agent: An LLM Agent for the Cross-layer Optimization of 2.5D and 3D Chiplet-based Systems

Qihang Wu, Aman Arora, Vidya A. Chhabria ยท 2026

The rapid growth of large language models (LLMs) and AI workloads has pushed monolithic silicon to its reticle and economic limits, accelerating the adoption of 2.5D/3D chiplet systems. However, theseโ€ฆ

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Audio-DeepThinker: Progressive Reasoning-Aware Reinforcement Learning for High-Quality Chain-of-Thought Emergence in Audio Language Models

Xiang He, Chenxing Li, Jinting Wang, Yan Rong, Tianxin Xie, Wenfu Wang, Li Liu, Dong Yu ยท 2026

Large Audio-Language Models (LALMs) have made significant progress in audio understanding, yet they primarily operate as perception-and-answer systems without explicit reasoning processes. Existing meโ€ฆ

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Serving Chain-structured Jobs with Large Memory Footprints with Application to Large Foundation Model Serving

Tingyang Sun, Ting He, I-Hong Hou ยท 2026

As a current trend in Artificial Intelligence (AI), large foundation models are increasingly employed as the core of AI services. However, even after training, serving such models at scale remains a cโ€ฆ

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Analyzing Chain of Thought (CoT) Approaches in Control Flow Code Deobfuscation Tasks

Seyedreza Mohseni, Sarvesh Baskar, Edward Raff, Manas Gaur ยท 2026

Code deobfuscation is the task of recovering a readable version of a program while preserving its original behavior. In practice, this often requires days or even months of manual work with complex anโ€ฆ

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