output
20102026
most citedAutomatic heterogeneous quantization of deep neural networks for low-latency inference on the edge for particle detectors

196 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

9 papers

cs.CR2026★ 1 cited

Tracing MCP Security Vulnerabilities: Constructing and Analyzing an MCP Security Vulnerability Dataset

Xu He, Sagar Patel, Shu Wang

As a core protocol for integrating large language models (LLMs) with external data sources and tools, the Model Context Protocol (MCP) has quickly become a key interface in emergin…

cs.CR2026

Blockchain-Enabled Artificial Intelligence and AI Agents for Secure Data Sharing and Cybersecurity Applications

Harsh Verma

Blockchain and artificial intelligence (AI) are converging into a single infrastructural layer for securing data sharing, model integrity, and autonomous decision-making across dis…

cs.HC2026

AI-Assisted Adaptive Rendering for High-Frequency Security Telemetry in Web Interfaces

Mona Rajhans

Modern cybersecurity platforms must process and display high-frequency telemetry such as network logs, endpoint events, alerts, and policy changes in real time. Traditional renderi…

cs.CR2025★ 4 cited

ChainMarks: Securing DNN Watermark with Cryptographic Chain

Brian Choi, Shu Wang, Isabelle Choi +1

With the widespread deployment of deep neural network (DNN) models, dynamic watermarking techniques are being used to protect the intellectual property of model owners. However, re…

cs.CR2024★ 17 cited

SecureNet: A Comparative Study of DeBERTa and Large Language Models for Phishing Detection

Sakshi Mahendru, Tejul Pandit

Phishing, whether through email, SMS, or malicious websites, poses a major threat to organizations by using social engineering to trick users into revealing sensitive information.…

cs.CR2021★ 36 cited

Living-Off-The-Land Command Detection Using Active Learning

Talha Ongun, Jack W. Stokes, Jonathan Bar Or +6

In recent years, enterprises have been targeted by advanced adversaries who leverage creative ways to infiltrate their systems and move laterally to gain access to critical data. O…

physics.ins-det2020★ 196 cited

Automatic heterogeneous quantization of deep neural networks for low-latency inference on the edge for particle detectors

Claudionor N. Coelho, Aki Kuusela, Shan Li +7

Although the quest for more accurate solutions is pushing deep learning research towards larger and more complex algorithms, edge devices demand efficient inference and therefore r…

cs.CR2016★ 6 cited

Taming Energy Cost of Disk Encryption Software on Data-Intensive Mobile Devices

Yang Hu, John C. S. Lui, Wenjun Hu +3

Disk encryption is frequently used to secure confidential data on mobile devices. However, the high energy cost of disk encryption poses a heavy burden on those devices with limite…

cs.NI2010★ 1 cited

Reinforcement Learning in BitTorrent Systems

Rafit Izhak-Ratzin, Hyunggon Park, Mihaela van der Schaar

Recent research efforts have shown that the popular BitTorrent protocol does not provide fair resource reciprocation and may allow free-riding. In this paper, we propose a BitTorre…