סמינר מחלקתי

 

Nancy Sarah Yacovzada and Michal Yaacov - Department of Industrial Engineering

Abstract:

 

Often the weakest link in security is not technology, but rather the people who use it. Moreover, it is well-known that most security breaches come from within the organization. While in some cases, such breaches are caused by malicious employees, often they are caused by vulnerable (naive) ones, for example by browsing malicious web sites. Our work aims at providing an automated scheme for the detection of such risky browsing behavior performed by vulnerable users. We do that by modelling and analyzing the interaction between two modules: one represents vulnerable users and the other represents risky web pages. In particular, we suggest an implementation of a closed-feedback loop between these modules, such that if a web page is exposed to a lot of traffic from risky users its "risk score" is increased, and in a similar way, if a user is exposed to risky websites (with high "risk score"), his own "risk score" is increased. We demonstrate the capabilities of our scheme using a large-scale real-world dataset of HTTP logs provided to us by an American toolbar

company. Preliminary results are encouraging: the closed-feedback learning process of web

pages and users can improve the detection process and lead to the detection of unknown

malicious web pages.

 

This work was performed under the supervision of Prof. Irad Ben-Gal.

 

ההרצאה תתקיים ביום שלישי 12.05.15, בשעה 14:00 בחדר 206, בנין וולפסון הנדסה, הפקולטה להנדסה, אוניברסיטת תל-אביב.

 

12 במאי 2015, 13:00 
 
סמינר מחלקתי

סמינר מחלקתי

EE Seminar: Distributed Machine Learning

~~(The talk will be given in English)

Dr. Ohad Shamir
Weizmann Institute
Monday, May 18th, 2015
15:00 - 16:00
Room 011, Kitot Bldg., Faculty of Engineering
Distributed Machine Learning

Abstract
Handling increasingly large datasets is one of the major problems faced by machine learning today. One approach is to distribute the learning task, and split the data among several machines which can run in parallel. Ideally, a distributed learning algorithm on k machines should provably (1) Run k times faster than an algorithm designed for a single machine; (2) Reach the same statistical learning performance with the same amount of training data; And (3) Use minimal communication between the machines, since it is usually much slow than internal processing. In other words, such an algorithm should combine computational efficiency, statistical efficiency, and communication efficiency. In this talk, I'll survey the challenges of designing such algorithms for convex learning problems, and describe some recent advances as well as fundamental limitations.

Includes joint work with Andrew Cotter, Ofer Dekel, Ran Gilad-Bachrach, Nathan Srebro, Karthik Sridharan, Lin Xiao and Tong Zhang.

18 במאי 2015, 15:00 
חדר 011, בניין כיתות-חשמל  

Analysis of Ancient Near Eastern Clay Tablets using p-ED-XRF and a Portable Petrographic Laboratory

13 במאי 2015, 16:00 
Room 103, Engineering Class (Kitot) Building  

Analysis of Ancient Near Eastern Clay Tablets using p-ED-XRF and a Portable Petrographic Laboratory

Prof.  Yuval Goren

The Laboratory for Comparative Microarchaeology,
Tel Aviv University

Analysis of Ancient Near Eastern Clay Tablets using p-ED-XRF and a Portable Petrographic Laboratory

13 במאי 2015, 16:00 - 17:00 
הפקולטה להנדסה  

Analysis of Ancient Near Eastern Clay Tablets using p-ED-XRF
and a Portable Petrographic Laboratory

Prof. Yuval Goren

Wednesday, May 13th, 16:00
Room 103, Engineering Class (Kitot) Building

Atomic Scale Simulation in the Service of Nuclear Materials Professor Robin Grimes Chief Scientific Advisor, Foreign and Commonwealth Office, UK Government Professor of Materials, Imperial College, London

Atomic Scale Simulation in the Service of Nuclear Materials

Professor Robin Grimes

Chief Scientific Advisor, Foreign and Commonwealth Office, UK Government

Professor of Materials, Imperial College, London

Tuesday, April 28th, 12:00

28 באפריל 2015, 12:00 
 

הכנס השנתי של ה- Industrial Affiliates Program

תמונות מהכנס ניתן לראות באתר הפייסבוק של IAP

14 במאי 2015, 9:15 
 
הכנס השנתי של ה- Industrial Affiliates Program

הכנס השנתי של ה- Industrial Affiliates Program

הפקולטה להנדסה, אוניברסיטת תל-אביב

יום ה' ה 14- למאי 2015 | בניין פורטר למדעי הסביבה, אוניברסיטת תל אביב

מושב פתיחה: משולב עם אירוע חבר הנאמנים של אוניברסיטת תל אביב

09:15 התכנסות
09:40 פרופ' יוסי רוזנוקס, דקאן הפקולטה להנדסה
09:45 תא"ל )מיל.( דר' דניאל גולד: "כיפת ברזל ומעבר- עיצוב הדור הבא של
החדשנות והטכנולוגיה"
10:10 דר' בריאן רוזן, סגל אקדמי בכיר, המחלקה למדע והנדסה של חומרים : "הכנת
דלקים נוזליים ממתאן שבים התיכון"
10:25 ד"ר הדס ממן, סגל אקדמי בכיר, ביה"ס להנדסה מכנית: "טיפול בשפכים ובמים"
10:40 פרופ' אלכסנדר ברונשטיין, סגל אקדמי בכיר, ביה"ס להנדסת חשמל:
"מימדים חדשים של המדיה"
10:55 דב מורן: "יזמות למיטיבי לכת"

מושב עיקרי: הכנס השנתי של ה- IAP

11:20 התכנסות, קפה, עוגות וטכנולוגיה
12:00 ברכות: ד"ר שלמה מרקל, סגן נשיא ברודקום העולמית, יו"ר רמות
אוניברסיטת תל אביב
12:10 פרופ' דוד מנדלוביץ, יו"ר ה- IAP
12:20 פרופ' יוסי רוזנוקס, דקאן הפקולטה להנדסה: "לטובת עולם טוב יותר"
12:30 פרופ' אבישי ברוורמן, לשעבר יו"ר ועדת הכלכלה של הכנסת: "מכלכלת
אקזיט לכלכלה צודקת בת קיימא"
12:50 מקסין פסברג, מנכ"ל אינטל ישראל וסגנית נשיא TMG : "יחס הגומלין בין
האקדמיה והתעשייה"
13:10 אריאל מייסלוס, יזם ומנכ"ל סטרטוסקייל ישראל: "יזמות סדרתית"
13:30 עו"ד דוד מירצ'ין: ”כיצד להוציא IP מהפקולטה ולהשאיר את כולם מרוצים?"
13:50 ארוחת-צהריים
 

7.5.15

07 במאי 2015, 15:00 
011 Kitot  
7.5.15

 

EE Seminar: No robot is an island, no team an archipelago

~~(The talk will be given in English)

Prof. Gal Kaminka
Bar Ilan University
Wednesday, May 20th, 2015
15:15 - 16:15
Room 011, Kitot Bldg., Faculty of Engineering
No robot is an island, no team an archipelago
Abstract
We live in opportune times. The centuries-old dreams of creating intelligent, programmable automatons—robots—are becoming reality. Recent years are seeing dramatically growing interest in robotics, by scientists and practitioners alike. Robots—from the molecular scale to tank-size—seem to appear everywhere: in production lines, in the battlefield, in hospitals, in warehouses, in homes, in fields; on the ground, on water, and in the air.

In this talk, I argue that to accelerate and maximize the impact of robotics, robots should operate in teams, rather than in isolation. Moreover, I argue that effective robot teams must dynamically adjust their teamwork, instead of relying on rigid pre-planned coordination schemes. This is not a mere philosophical argument: I will present algorithms, data structures, and computational techniques for facilitating such teamwork, and discuss analytical guarantees and empirical results that demonstrate the effectiveness of these contributions in a variety of cooperative robot teams, from the molecular to the vehicle scale; robot teams which move in formations, explore urban areas, play soccer, and patrol Israel's borders.

As a final note, I will also argue that what is true for robots, is true for roboticists. Accelerating the impact of robotics requires leaving behind rigid disciplinary bounds and pre-established division of labor within academic circles and in practice. Instead, roboticists should embrace multi-discplinary collaborations, opening up to biology, psychology, economics, and sociology as sources of inspiration and targets of influence.

About the speaker:
Gal A. Kaminka is a professor at the computer science department and the brain sciences research center, at Bar Ilan University (Israel), where he chairs the Bar Ilan University Robotics Consortium, and his MAVERICK research group. His research expertise includes multi-agent and multi-robot systems, teamwork and coordination, behavior and plan recognition, and modeling social behavior. He received his PhD from the University of Southern California (2000), spent time as a post-doctorate fellow at Carnegie Mellon University (until 2002), and a year as a Radcliffe Fellow at Harvard University's Radcliffe Institute for Advanced Study (2012).  Prof. Kaminka was awarded an IBM faculty award and top places at international robotics competitions. He served as the program chair of the 2008 Israeli Conference on Robotics, and the program co-chair of the 2010 Int'l Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS). He has served on the international executive bodies of IFAAMAS (International Foundation of Autonomous Agents and Multi-Agent Systems), the RoboCup Federation, and AAAI (Association for Advancement of Artificial Intelligence). He is the author or co-author of over 150 publications and 7 patents. He is the 2013 recipient of the Israeli national Landau Prize in exact sciences.

 

20 במאי 2015, 15:15 
חדר 011, בניין כיתות-חשמל  

EE Seminar: Matching image content with bounded distortion

~~(The talk will be given in English)

Prof. Ronen Basri
Weizmann Institute
Monday, May 11th, 2015
15:00 - 16:00
Room 011, Kitot Bldg., Faculty of Engineering
Matching image content with bounded distortion
Abstract
Modeling deformations is important for various applications in computer vision, graphics and geometry processing. In this talk I will describe our recent progress in modeling bounded distortion transformations, locally injective maps whose differentials' conformal distortion is bounded. Specifically, I will introduce a convex framework for solving optimization problems over matrices that involve functionals and constraints expressed in terms of the extremal singular values of matrices. Using this framework we can design algorithms for solving a number of challenging problems. In particular, I will present algorithms for finding corresponding points between images related by a non-rigid deformation, non-rigid registration of shape models and computing extremal quasi-conformal maps.

This is joint work with Yaron Lipman, Stav Yagev, Roi Poranne, David Jacobs, Shahar Kovalsky, Noam Aigerman, Meirav Galun, Tal Amir, and Angjoo Kanazawa.

11 במאי 2015, 15:00 
חדר 011, בניין כיתות-חשמל  

סמינר

EE Seminar: Side-channel attacks on mobile devices

~~(The talk will be given in English)

Yan Michalevsky
Stanford University
Wednesday, May 13th, 2015
15:00 - 16:00
Room 011, Kitot Bldg., Faculty of Engineering
Side-channel attacks on mobile devices
Abstract
Modern smartphones are loaded with sensors that measure a lot of information about the environment: a compass, an accelerometer, a GPS receiver, a microphone, an ampere-meter, etc. Some sensors, like the GPS receiver and microphone, are protected, as applications must request special permissions to read data from them. Other sensors, like the accelerometer and ampere-meter, are considered innocuous and can be read by any application without special permissions.
In a sequence of recent papers we show that smartphone sensors can be abused: malicious applications can use innocuous sensors for unintended purposes.  We give three illustrative examples: access to the accelerometer results in a device fingerprint that is strongly bound to the phone, access to the gyro sensor enables an application without privileges to eavesdrop on acoustic signals, including speech, in the vicinity of the phone. Access to the ampere-meter reveals information about the phone’s past and present locations.
We suggest defenses specific to these particular attacks, as well as more general principles for designing a more secure ecosystem of smart devices.

Bio
Yan is a PhD student at Stanford University, advised by Dan Boneh. He recently focused on mobile security and privacy. His works on side-channel attacks on mobile devices were presented at Usenix and BlackHat security conferences.
Previously, he held several positions in industry as a team manager, independent contractor, and software architect and developer, mostly in the fields of networks, embedded software and security. He holds a BSc in Electrical Engineering from the Technion, and an MS in Electrical Engineering from Stanford University.

 

13 במאי 2015, 15:00 
חדר 011, בניין כיתות-חשמל  

עמודים

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