DISARMING ATTACKS INSIDE NEURAL NETWORK MODELS

Disarming Attacks Inside Neural Network Models

Similar to the revolution of open source code sharing, Artificial Intelligence (AI) model sharing is gaining increased popularity.However, the fast adaptation in the industry, lack of awareness, and ability to exploit the models make them significant attack vectors.By embedding malware in neurons, the malware can be Dresser w/ Fireplace delivered c

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Prediction of barium sulfate precipitation in dynamic tube blocking tests and its inhibition for waterflooding application using response surface methodology

Abstract Scale precipitation is one of the major problems in the petroleum industry during waterflooding.The possibility of salt formation and precipitation should be monitored and analyzed under dynamic conditions to improve production performance.Scale precipitation and its dependence on production parameters should be investigated before using s

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Crosslinked Facilitated Transport Membranes Based on Carboxymethylated NFC and Amine-Based Fixed Carriers for Carbon Capture, Utilization, and Storage Applications

Herein, we report the performances of crosslinked facilitated transport membranes Lace Part Closure based on carboxymethylated nanofibrils of cellulose (cmNFC) and polyvinylamine (PVAm) with the use of 3-(2-Aminoethylamino) propyltrimethoxysilane (AEAPTMS) as second fixed copyright for CO2 selectivity and permeability.The grafting of AEAPTMS on cmN

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Towards Understanding the Key Signature Pathways Associated from Differentially Expressed Gene Analysis in an Indian Prostate Cancer Cohort

Prostate cancer (PCa) is one of the most prevalent cancers among men in India.Although studies on PCa have dealt with genetics, genomics, and the environmental influence in the causality of PCa, not many studies employing the Next Generation Sequencing (NGS) approaches of PCa have been carried out.In our previous study, we identified some causal ge

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