Ben-Gurion University of the Negev

research

∙ 12/23/2020

Poisoning Attacks on Cyber Attack Detectors for Industrial Control Systems

Recently, neural network (NN)-based methods, including autoencoders, hav...

Moshe Kravchik, et al. ∙

research

∙ 05/26/2022

Denial-of-Service Attack on Object Detection Model Using Universal Adversarial Perturbation

Adversarial attacks against deep learning-based object detectors have be...

Avishag Shapira, et al. ∙

research

∙ 01/14/2020

PoPS: Policy Pruning and Shrinking for Deep Reinforcement Learning

The recent success of deep neural networks (DNNs) for function approxima...

Dor Livne, et al. ∙

research

∙ 04/30/2021

IPatch: A Remote Adversarial Patch

Applications such as autonomous vehicles and medical screening use deep ...

Yisroel Mirsky, et al. ∙

research

∙ 05/26/2022

Opinion Spam Detection: A New Approach Using Machine Learning and Network-Based Algorithms

E-commerce is the fastest-growing segment of the economy. Online reviews...

Kiril Danilchenko, et al. ∙

research

∙ 06/26/2019

Verifying Robustness of Gradient Boosted Models

Gradient boosted models are a fundamental machine learning technique. Ro...

Gil Einziger, et al. ∙

research

∙ 02/09/2022

Scenario-Assisted Deep Reinforcement Learning

Deep reinforcement learning has proven remarkably useful in training age...

Raz Yerushalmi, et al. ∙

research

∙ 06/19/2019

Multi-Agent Pathfinding: Definitions, Variants, and Benchmarks

The MAPF problem is the fundamental problem of planning paths for multip...

Roni Stern, et al. ∙

research

∙ 06/11/2018

Multi-Agent Path Finding with Deadlines

We formalize Multi-Agent Path Finding with Deadlines (MAPF-DL). The obje...

Hang Ma, et al. ∙

research

∙ 09/13/2021

ChangeChip: A Reference-Based Unsupervised Change Detection for PCB Defect Detection

The usage of electronic devices increases, and becomes predominant in mo...

Yehonatan Fridman, et al. ∙

research

∙ 07/25/2022

WinoGAViL: Gamified Association Benchmark to Challenge Vision-and-Language Models

While vision-and-language models perform well on tasks such as visual qu...

Yonatan Bitton, et al. ∙

research

∙ 07/19/2017

Generic Black-Box End-to-End Attack Against State of the Art API Call Based Malware Classifiers

In this paper, we present a black-box attack against API call based mach...

Ishai Rosenberg, et al. ∙

research

∙ 11/15/2017

Contextual Object Detection with a Few Relevant Neighbors

A natural way to improve the detection of objects is to consider the con...

Ehud Barnea, et al. ∙

research

∙ 11/15/2017

On the Utility of Context (or the Lack Thereof) for Object Detection

The recurring context in which objects appear holds valuable information...

Ehud Barnea, et al. ∙

research

∙ 11/08/2017

Curve Reconstruction via the Global Statistics of Natural Curves

Reconstructing the missing parts of a curve has been the subject of much...

Ehud Barnea, et al. ∙

research

∙ 09/11/2017

A Planning Approach to Monitoring Behavior of Computer Programs

We describe a novel approach to monitoring high level behaviors using co...

Alexandre Cukier, et al. ∙

research

∙ 07/02/2017

Modifying Optimal SAT-based Approach to Multi-agent Path-finding Problem to Suboptimal Variants

In multi-agent path finding (MAPF) the task is to find non-conflicting p...

Pavel Surynek, et al. ∙

research

∙ 06/25/2017

Specifying Non-Markovian Rewards in MDPs Using LDL on Finite Traces (Preliminary Version)

In Markov Decision Processes (MDPs), the reward obtained in a state depe...

Ronen Brafman, et al. ∙

research

∙ 08/29/2017

Gradual Learning of Deep Recurrent Neural Networks

Deep Recurrent Neural Networks (RNNs) achieve state-of-the-art results i...

Ziv Aharoni, et al. ∙

research

∙ 08/24/2017

Mixing time estimation in reversible Markov chains from a single sample path

The spectral gap γ of a finite, ergodic, and reversible Markov chain is ...

Daniel Hsu, et al. ∙

research

∙ 09/14/2017

Detection of Unauthorized IoT Devices Using Machine Learning Techniques

Security experts have demonstrated numerous risks imposed by Internet of...

Yair Meidan, et al. ∙

research

∙ 02/22/2017

Solving DCOPs with Distributed Large Neighborhood Search

The field of Distributed Constraint Optimization has gained momentum in ...

Ferdinando Fioretto, et al. ∙

research

∙ 10/05/2016

Lifted Message Passing for the Generalized Belief Propagation

We introduce the lifted Generalized Belief Propagation (GBP) message pas...

Udi Apsel, et al. ∙

research

∙ 03/04/2015

Estimating the Probability of Meeting a Deadline in Hierarchical Plans

Given a hierarchical plan (or schedule) with uncertain task times, we pr...

Liat Cohen, et al. ∙

research

∙ 12/19/2016

Handwritten Signature Verification Using Hand-Worn Devices

Online signature verification technologies, such as those available in b...

Ben Nassi, et al. ∙

research

∙ 11/24/2014

Rational Deployment of Multiple Heuristics in IDA*

Recent advances in metareasoning for search has shown its usefulness in ...

David Tolpin, et al. ∙

research

∙ 05/22/2013

Towards Rational Deployment of Multiple Heuristics in A*

The obvious way to use several admissible heuristics in A* is to take th...

David Tolpin, et al. ∙

research

∙ 04/27/2016

Deep Learning for Saliency Prediction in Natural Video

The purpose of this paper is the detection of salient areas in natural v...

Souad Chaabouni, et al. ∙

research

∙ 10/22/2014

Active Regression by Stratification

We propose a new active learning algorithm for parametric linear regress...

Sivan Sabato, et al. ∙

research

∙ 07/24/2012

VOI-aware MCTS

UCT, a state-of-the art algorithm for Monte Carlo tree search (MCTS) in ...

David Tolpin, et al. ∙

research

∙ 07/23/2012

MCTS Based on Simple Regret

UCT, a state-of-the art algorithm for Monte Carlo tree search (MCTS) in ...

David Tolpin, et al. ∙

research

∙ 07/01/2014

A Bayes consistent 1-NN classifier

We show that a simple modification of the 1-nearest neighbor classifier ...

Aryeh Kontorovich, et al. ∙

research

∙ 10/31/2011

A General Theory of Additive State Space Abstractions

Informally, a set of abstractions of a state space S is additive if the ...

Fan Yang, et al. ∙

research

∙ 09/19/2013

Predictive PAC Learning and Process Decompositions

We informally call a stochastic process learnable if it admits a general...

Cosma Rohilla Shalizi, et al. ∙

research

∙ 04/11/2011

Rational Deployment of CSP Heuristics

Heuristics are crucial tools in decreasing search effort in varied field...

David Tolpin, et al. ∙

research

∙ 06/11/2013

Efficient Classification for Metric Data

Recent advances in large-margin classification of data residing in gener...

Lee-Ad Gottlieb, et al. ∙

research

∙ 02/12/2013

Adaptive Metric Dimensionality Reduction

We study adaptive data-dependent dimensionality reduction in the context...

Lee-Ad Gottlieb, et al. ∙

research

∙ 12/28/2017

A Syntactic Approach to Domain-Specific Automatic Question Generation

Factoid questions are questions that require short fact-based answers. A...

Guy Danon, et al. ∙

research

∙ 10/12/2016

Language Models with Pre-Trained (GloVe) Word Embeddings

In this work we implement a training of a Language Model (LM), using Rec...

Victor Makarenkov, et al. ∙

research

∙ 10/27/2017

Incorporating Reality into Social Choice

When voting on a proposal one in fact chooses between two alternatives: ...

Ehud Shapiro, et al. ∙

research

∙ 12/17/2017

A multigrid solver to the Helmholtz equation with a point source based on travel time and amplitude

The Helmholtz equation arises when modeling wave propagation in the freq...

Eran Treister, et al. ∙

research

∙ 12/08/2017

Data Aggregation Over Multiple Access Wireless Sensors Network

Data collection in Wireless Sensor Networks (WSN) draws significant atte...

Alejandro Cohen, et al. ∙

research

∙ 12/07/2017

Feedback Capacity and Coding for the (0,k)-RLL Input-Constrained BEC

The input-constrained binary erasure channel (BEC) with strictly causal ...

Ori Peled, et al. ∙

research

∙ 10/04/2017

The Parameterized Complexity of Centrality Improvement in Networks

The centrality of a vertex v in a network intuitively captures how impor...

Clemens Hoffmann, et al. ∙

research

∙ 09/26/2017

A Parameterized View on Multi-Layer Cluster Editing

In classical Cluster Editing we seek to transform a given graph into a d...

Jiehua Chen, et al. ∙

research

∙ 10/02/2017

Network Optimization on Partitioned Pairs of Points

Given n pairs of points, S = {{p_1, q_1}, {p_2, q_2}, ..., {p_n, q_n}}, ...

Esther M. Arkin, et al. ∙

research

∙ 10/16/2017

What Can Spatiotemporal Characteristics of Movements in RAMIS Tell Us?

Quantitative characterization of surgical movements can improve the qual...

Yarden Sharon, et al. ∙

research

∙ 09/18/2017

A Condorcet-Consistent Participatory Budgeting Algorithm

The budget is the key means for effecting policy in democracies, yet its...

Ehud Shapiro, et al. ∙

research

∙ 09/18/2017

New Algorithms for Minimizing the Weighted Number of Tardy Jobs On a Single Machine

In this paper we study the classical single machine scheduling problem w...

Danny Hermelin, et al. ∙

research

∙ 07/06/2017

A Survey on Geographically Distributed Big-Data Processing using MapReduce

Hadoop and Spark are widely used distributed processing frameworks for l...

Shlomi Dolev, et al. ∙

Ben-Gurion University of the Negev

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