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Preimage Attacks on Round-Reduced KECCAK-224/256 via an Allocating Approach

期刊: ADVANCES IN CRYPTOLOGY - EUROCRYPT 2019, PT III, 2019; 11478 ()

We present new preimage attacks on standard KECCAK-224 and KECCAK-256 that are reduced to 3 and 4 rounds. An allocating approach is used in the attack......

Covert Security with Public Verifiability: Faster, Leaner, and Simpler

期刊: ADVANCES IN CRYPTOLOGY - EUROCRYPT 2019, PT III, 2019; 11478 ()

The notion of covert security for secure two-party computation serves as a compromise between the traditional semi-honest and malicious security defin......

Locality-Preserving Oblivious RAM

期刊: ADVANCES IN CRYPTOLOGY - EUROCRYPT 2019, PT II, 2019; 11477 ()

Oblivious RAMS, introduced by Goldreich and Ostrovsky [JACM'96], compile any RAM program into one that is "memory oblivious", i.e., the access pattern......

Consensus Through Herding

期刊: ADVANCES IN CRYPTOLOGY - EUROCRYPT 2019, PT I, 2019; 11476 ()

State Machine Replication (SMR) is an important abstraction for a set of nodes to agree on an ever-growing, linearly-ordered log of transactions. In d......

Iterative Design and Implementation of Rapid Gradient Descent Method

期刊: ARTIFICIAL INTELLIGENCEAND SOFT COMPUTING, PT I, 2019; 11508 ()

Solvers of nonlinear systems of equations are important in software engineering. There are various methods which use gradient approach to find the sol......

Dense Multi-focus Fusion Net: A Deep Unsupervised Convolutional Network for Multi-focus Image Fusion

期刊: ARTIFICIAL INTELLIGENCEAND SOFT COMPUTING, PT I, 2019; 11508 ()

In this paper, we introduce a novel unsupervised deep learning (DL) method for multi-focus image fusion. Existing multi-focus image fusion (MFIF) meth......

3D Depthwise Convolution: Reducing Model Parameters in 3D Vision Tasks

期刊: ADVANCES IN ARTIFICIAL INTELLIGENCE, 2019; 11489 ()

Standard 3D convolution operations usually require larger amounts of memory and computation cost than 2D convolution operations. The fact increases th......

Prediction Based Deep Autoencoding Model for Anomaly Detection

期刊: COMPUTER VISION - ACCV 2018 WORKSHOPS, 2019; 11367 ()

Latent variables and reconstruction error generated from auto encoder are the common means for anomaly detection dealing with high dimensional signals......

Paying Attention to Style: Recognizing Photo Styles with Convolutional Attentional Units

期刊: COMPUTER VISION - ACCV 2018 WORKSHOPS, 2019; 11367 ()

The notion of style in photographs is one that is highly subjective, and often difficult to characterize computationally. Recent advances in learning ......

Anti-occlusion Light-Field Optical Flow Estimation Using Light-Field Super-Pixels

期刊: COMPUTER VISION - ACCV 2018 WORKSHOPS, 2019; 11367 ()

Optical flow estimation is one of the most important problem in community. However, current methods still can not provide reliable results in occlusio......

Cross-Resolution Person Re-identification with Deep Antithetical Learning

期刊: COMPUTER VISION - ACCV 2018, PT III, 2019; 11363 ()

Images with different resolutions are ubiquitous in public person re-identification (ReID) datasets and real-world scenes, it is thus crucial for a pe......

Robust and Efficient Ellipse Fitting Using Tangent Chord Distance

期刊: COMPUTER VISION - ACCV 2018, PT III, 2019; 11363 ()

Ellipse fitting is a fundamental problem in computer vision which has been extensively studied during the past decades. However, this problem still re......

TextNet: Irregular Text Reading from Images with an End-to-End Trainable Network

期刊: COMPUTER VISION - ACCV 2018, PT III, 2019; 11363 ()

Reading text from images remains challenging due to multi-orientation, perspective distortion and especially the curved nature of irregular text. Most......

COSONet: Compact Second-Order Network for Video Face Recognition

期刊: COMPUTER VISION - ACCV 2018, PT III, 2019; 11363 ()

In this paper, we study the task of video face recognition. The face images in the video typically cover large variations in expression, lighting, or ......

Believe It or Not, We Know What You Are Looking At!

期刊: COMPUTER VISION - ACCV 2018, PT III, 2019; 11363 ()

By borrowing the wisdom of human in gaze following, we propose a two-stage solution for gaze point prediction of the target persons in a scene. Specif......

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