Danny Hendler | DeepAI

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Featured Co-authors

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∙ 08/07/2023

Recoverable and Detectable Self-Implementations of Swap

Recoverable algorithms tolerate failures and recoveries of processes by ...

0 Tomer Lev Lehman, et al. ∙

∙ 04/25/2022

NVM-ESR: Using Non-Volatile Memory in Exact State Reconstruction of Preconditioned Conjugate Gradient

HPC systems are a critical resource for scientific research and advanced...

0 Yehonatan Fridman, et al. ∙

∙ 03/25/2022

Machine-Learning Based Objective Function Selection for Community Detection

NECTAR, a Node-centric ovErlapping Community deTection AlgoRithm, presen...

0 Asa Bornstein, et al. ∙

∙ 09/05/2021

Assessing the Use Cases of Persistent Memory in High-Performance Scientific Computing

As the High Performance Computing world moves towards the Exa-Scale era,...

0 Yehonatan Fridman, et al. ∙

∙ 05/29/2021

BPFroid: Robust Real Time Android Malware Detection Framework

We present BPFroid – a novel dynamic analysis framework for Android that...

0 Yaniv Agman, et al. ∙

∙ 05/25/2021

Execution of NVRAM Programs with Persistent Stack

Non-Volatile Random Access Memory (NVRAM) is a novel type of hardware th...

0 Vitaly Aksenov, et al. ∙

∙ 04/20/2021

Upper and Lower Bounds for Deterministic Approximate Objects

Relaxing the sequential specification of shared objects has been propose...

0 Danny Hendler, et al. ∙

∙ 03/30/2021

Early Detection of In-Memory Malicious Activity based on Run-time Environmental Features

In recent years malware has become increasingly sophisticated and diffic...

0 Dorel Yaffe, et al. ∙

∙ 12/23/2020

Flat-Combining-Based Persistent Data Structures for Non-Volatile Memory

Flat combining (FC) is a synchronization paradigm in which a single thre...

0 Matan Rusanovsky, et al. ∙

∙ 08/04/2020

DAEMON: Dataset-Agnostic Explainable Malware Classification Using Multi-Stage Feature Mining

Numerous metamorphic and polymorphic malicious variants are generated au...

0 Ron Korine, et al. ∙

∙ 04/10/2020

Towards Realistic Byzantine-Robust Federated Learning

Federated Learning (FL) is a distributed machine learning paradigm where...

0 Amit Portnoy, et al. ∙

∙ 02/26/2020

Upper and Lower Bounds on the Space Complexity of Detectable Object

The emergence of systems with non-volatile main memory (NVM) increases t...

0 Ohad Ben-Baruch, et al. ∙

∙ 05/31/2019

Tracking in Order to Recover: Recoverable Lock-Free Data Structures

We present the tracking approach for deriving recoverable implementation...

0 Hagit Attiya, et al. ∙

∙ 05/23/2019

Detecting Malicious PowerShell Scripts Using Contextual Embeddings

PowerShell is a command line shell, that is widely used in organizations...

0 Amir Rubin, et al. ∙

∙ 04/11/2018

Detecting Malicious PowerShell Commands using Deep Neural Networks

Microsoft's PowerShell is a command-line shell and scripting language th...

0 Danny Hendler, et al. ∙

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