Indian Institute of Technology Indore

About: Indian Institute of Technology Indore is a education organization based out in Indore, Madhya Pradesh, India. It is known for research contribution in the topics: Fading & Support vector machine. The organization has 1606 authors who have published 4803 publications receiving 66500 citations.

Metal Catalysts for the Efficient Transformation of Biomass‐derived HMF and Furfural to Value Added Chemicals

Abstract: Catalytic transformation of biomass‐derived compounds to different platform chemicals and liquid fuel is a prominent way to reduce the global dependence on fossil resources. In past few decades, biomass‐derived furans such as 2‐furfuraldehyde (furfural) and 5‐hydroxymethyl‐2‐furfural (HMF) have received outstanding attention because of their wide applications in the production of various industrially important value‐added chemicals and fuel components. Various catalytic systems and methodologies have been extensively explored for the transformation of these furans to a wide range of products including open ring diketones, ketoacids, alcohols and long chain alkanes. This Review is aimed to provide an extensive overview of the recent developments of several high‐performing heterogeneous catalysts for the catalytic upgradation of the key biomass‐derived furans (furfural and HMF) to value‐added chemicals. Moreover, the role of these catalysts in the catalytic transformations including hydrogenation, decarbonylation, oxidation, hydrogenolysis and ring opening reactions, and the mechanistic pathways are also highlighted in this Review.

A competition on generalized software-based face presentation attack detection in mobile scenarios

Abstract: In recent years, software-based face presentation attack detection (PAD) methods have seen a great progress. However, most existing schemes are not able to generalize well in more realistic conditions. The objective of this competition is to evaluate and compare the generalization performances of mobile face PAD techniques under some real-world variations, including unseen input sensors, presentation attack instruments (PAI) and illumination conditions, on a larger scale OULU-NPU dataset using its standard evaluation protocols and metrics. Thirteen teams from academic and industrial institutions across the world participated in this competition. This time typical liveness detection based on physiological signs of life was totally discarded. Instead, every submitted system relies practically on some sort of feature representation extracted from the face and/or background regions using hand-crafted, learned or hybrid descriptors. Interesting results and findings are presented and discussed in this paper.

Removal Attacks on Logic Locking and Camouflaging Techniques

Abstract: With the adoption of a globalized and distributed IC design flow, IP piracy, reverse engineering, and counterfeiting threats are becoming more prevalent. Logic obfuscation techniques including logic locking and IC camouflaging have been developed to address these emergent challenges. A major challenge for logic locking and camouflaging techniques is to resist Boolean satisfiability (SAT) based attacks that can circumvent state-of-the-art solutions within minutes. Over the past year, multiple SAT attack resilient solutions such as Anti-SAT and AND-tree insertion (ATI) have been presented. In this paper, we perform a security analysis of these countermeasures and show that they leave structural traces behind in their attempts to thwart the SAT attack. We present three attacks, namely “signal probability skew” (SPS) attack, “AppSAT guided removal (AGR) attack, and “sensitization guided SAT” (SGS) attack”, that can break Anti-SAT and ATI, within minutes.