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🔍 samrat mukherjee 📂 Computer Science
Showing 41 results for "samrat mukherjee" in Computer Science
Computer Science Preprint PDF DOI

AsmRAG: LLM-Driven Malware Detection by Retrieving Functionally Similar Assembly Code

ElMouatez Billah Karbab · 2026

Deep learning malware detectors achieve high classification accuracy but suffer from severe interpretability limitations, typically returning probabilistic verdicts that lack forensic context. We intr…

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Computer Science Preprint PDF DOI

CARAT: Client-Side Adaptive RPC and Cache Co-Tuning for Parallel File Systems

Md Hasanur Rashid, Nathan R. Tallent, Forrest Sheng Bao, Dong Dai · 2026

Tuning parallel file system in High-Performance Computing (HPC) systems remains challenging due to the complex I/O paths, diverse I/O patterns, and dynamic system conditions. While existing autotuning…

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Computer Science Preprint PDF DOI

SAMAY: System for Acoustic Measurement and Analysis

Adheep Arya G R, Vaibhav Pratap Singh, Mayank Kumar, Niyathi Shenoy, Tejas Suryawanshi, Ruchi Juyal, Sangit Saha, Kaushik Nanda, Hari Babu Pasupuleti, S D Sudarsan · 2025

This paper describes an automatic bird call recording system called SAMAY, which is developed to study bird species by creating a database of large amounts of bird acoustic data. By analysing the reco…

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Computer Science Preprint PDF DOI

Predicting Module-Lattice Reduction

Leo Ducas, Lynn Engelberts, Paola de Perthuis · 2025

Is module-lattice reduction better than unstructured lattice reduction? This question was highlighted as 'Q8' in the Kyber NIST standardization submission (Avanzi et al., 2021), as potentially affecti…

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Computer Science Preprint PDF DOI

Of-SemWat: High-payload text embedding for semantic watermarking of AI-generated images with arbitrary size

Benedetta Tondi, Andrea Costanzo, Mauro Barni · 2025

We propose a high-payload image watermarking method for textual embedding, where a semantic description of the image - which may also correspond to the input text prompt-, is embedded inside the image…

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Computer Science Preprint PDF DOI

Towards user-centered interactive medical image segmentation in VR with an assistive AI agent

Pascal Spiegler, Arash Harirpoush, Yiming Xiao · 2025

Crucial in disease analysis and surgical planning, manual segmentation of volumetric medical scans (e.g. MRI, CT) is laborious, error-prone, and challenging to master, while fully automatic algorithms…

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Computer Science Preprint PDF DOI

SUMART: SUMmARizing Translation from Wordy to Concise Expression

Naoto Nishida, Jun Rekimoto · 2025

We propose SUMART, a method for summarizing and compressing the volume of verbose subtitle translations. SUMART is designed for understanding translated captions (e.g., interlingual conversations via …

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Computer Science Preprint PDF DOI

A parallel algorithm for the odd two-face shortest k-disjoint path problem

Srijan Chakraborty, Samir Datta · 2025

The shortest Disjoint Path problem (SDPP) requires us to find pairwise vertex disjoint paths between k designated pairs of terminal vertices such that the sum of the path lengths is minimum. The f…

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Computer Science Preprint PDF DOI

CoMRAT: Commit Message Rationale Analysis Tool

Mouna Dhaouadi, Bentley James Oakes, Michalis Famelis · 2025

In collaborative open-source development, the rationale for code changes is often captured in commit messages, making them a rich source of valuable information. However, research on rationale in comm…

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Computer Science Preprint PDF DOI

SAMPAI: A VR Framework for Industrial Safety Training Inspired by Cultural Heritage Education

Gianni Vercelli, Saverio Iacono, Luca Martini, Michele Zardetto, Daniele Zolezzi · 2024

This study explores the application of Virtual Reality (VR) to industrial safety training by adapting immersive design principles from cultural heritage education. The SAMPAI simulator, developed for …

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Computer Science Preprint PDF DOI

Packing Short Cycles

Matthias Bentert, Fedor V. Fomin, Petr A. Golovach, Tuukka Korhonen, William Lochet, Fahad Panolan, M. S. Ramanujan, Saket Saurabh, Kirill Simonov · 2024

Cycle packing is a fundamental problem in optimization, graph theory, and algorithms. Motivated by recent advancements in finding vertex-disjoint paths between a specified set of vertices that either …

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Computer Science Preprint PDF DOI

SAMBA: Scalable Approximate Forwarding For NDN Implicit FIB Aggregation

Amir Esmaeili, Abderrahmen Mtibaa · 2024

The Internet landscape has witnessed a significant shift toward Information Centric Networking (ICN) due to the exponential growth of data-driven applications. Similar to routing tables in TCP/IP arch…

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Computer Science Preprint PDF DOI

SemPat: Using Hyperproperty-based Semantic Analysis to Generate Microarchitectural Attack Patterns

Adwait Godbole, Yatin A. Manerkar, Sanjit A. Seshia · 2024

Microarchitectural security verification of software has seen the emergence of two broad classes of approaches. The first is based on semantic security properties (e.g., non-interference) which are ve…

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Computer Science Preprint PDF DOI

On the Feasibility of CubeSats Application Sandboxing for Space Missions

Gabriele Marra, Ulysse Planta, Philipp Wustenberg, Ali Abbasi · 2024

This paper details our journey in designing and selecting a suitable application sandboxing mechanism for a satellite under development, with a focus on small satellites. Central to our study is the d…

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Computer Science Preprint PDF DOI

SMaRTT: Sender-based Marked Rapidly-adapting Trimmed & Timed Transport

Tommaso Bonato, Abdul Kabbani, Ahmad Ghalayini, Anup Agarwal, Daniele De Sensi, Rong Pan, Costin Raiciu, Mark Handley, Mihai Brodschi, Timo Schneider, Nils Blach, Daniel Santos Ferreira Alves, Torsten Hoefler · 2024

With the rapid growth of artificial intelligence (AI) workloads in datacenters, the Ultra Ethernet Consortium (UEC) has defined a new high-performance transport layer to deliver the required performan…

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Computer Science Preprint PDF DOI

CARAT: Contrastive Feature Reconstruction and Aggregation for Multi-Modal Multi-Label Emotion Recognition

Cheng Peng, Ke Chen, Lidan Shou, Gang Chen · 2023

Multi-modal multi-label emotion recognition (MMER) aims to identify relevant emotions from multiple modalities. The challenge of MMER is how to effectively capture discriminative features for multiple…

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Computer Science Preprint PDF DOI

SamurAI: A Versatile IoT Node With Event-Driven Wake-Up and Embedded ML Acceleration

Ivan Miro-Panades (LSTA), Benoit Tain (LECA), Jean-Frederic Christmann (LFIM), David Coriat (LIIM), Romain Lemaire (LIIM), Clement Jany, Baudouin Martineau (DSYS), Fabrice Chaix (DSYS), Guillaume Waltener (DSYS), Emmanuel Pluchart (LSTA), Jean-Philippe Noel (LFIM), Adam Makosiej, Maxime Montoya, Simone Bacles-Min (LIIM), David Briand (LIAE), Jean-Marc Philippe, Yvain Thonnart (LFIM), Alexandre Valentian (LSTA), Frederic Heitzmann (DSYS), Fabien Clermidy (DSCIN) · 2023

Increased capabilities such as recognition and self-adaptability are now required from IoT applications. While IoT node power consumption is a major concern for these applications, cloud-based process…

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Computer Science Preprint PDF DOI

Cybersecurity of COSPAS-SARSAT and EPIRB: threat and attacker models, exploits, future research

Andrei Costin, Syed Khandker, Hannu Turtiainen, Timo Hamalainen · 2023

COSPAS-SARSAT is an International programme for "Search and Rescue" (SAR) missions based on the "Satellite Aided Tracking" system (SARSAT). It is designed to provide accurate, timely, and reliable dis…

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Computer Science Preprint PDF DOI

Parameterizable Acoustical Modeling and Auralization of Cultural Heritage Sites based on Photogrammetry

Dominik Ukolov · 2023

The photogrammetric and reconstructive modeling of cultural heritage sites is mostly focused on visually perceivable aspects, but if their intended purpose is the performance of cultural acts with a s…

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Computer Science Preprint PDF DOI

Training Fully Connected Neural Networks is $\exists\mathbb{R}$-Complete

Daniel Bertschinger, Christoph Hertrich, Paul Jungeblut, Tillmann Miltzow, Simon Weber · 2022

We consider the problem of finding weights and biases for a two-layer fully connected neural network to fit a given set of data points as well as possible, also known as EmpiricalRiskMinimization. Our…

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