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Pennsylvania State University Part-Time Research Intern - Kesidis Research - Engineering in University Park, Pennsylvania

APPLICATION INSTRUCTIONS:

  • CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process (https://pennstateoffice365.sharepoint.com/:b:/s/KnowledgeBaseArticlesSharing/EfiwgKReZ4VAjprFZPKWUm0Bq_sU3KzTmERfpryq0esPKQ) . Please do not apply here, apply internally through Workday.

  • CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. (https://pennstateoffice365.sharepoint.com/:b:/s/KnowledgeBaseArticlesSharing/Eeys15Xva4hFokHVtbP1eGIB5i1WFLc-J3k9KHgrFYZ7mg) Please do not apply here, apply internally through Workday.

  • If you are NOT a current employee or student, please click “Apply” and complete the application process for external applicants (https://hr.psu.edu/sites/hr/files/Application_Process_for_External_Applications_Non-Penn_State_Employees_.pdf) .

JOB DESCRIPTION AND POSITION REQUIREMENTS:

Computer Science and Engineering seeks to hire multiple part-time research interns .

Interns will Implement a successful gradient-free test-time evasion attack against a classifier trained for the MNIST domain.

Approaches to gradient-free test-time evasion attacks can be found in a paper that has been added to the course’s Extra Materials. You are asked to implement, in Matlab, an algorithm to perform gradient-free TTE attacks (targeted attacks). You should attack each test sample and misclassify it to a (randomly chosen) target class. You should report the attack success rate and the average number of classifier queries needed to achieve a successful attack. You should display representative attacked image examples to show whether the attack is perceptible or imperceptible. You should consider at least two different gradient-free attack algorithms, or two variants of the same algorithm. Also suggest a simple algorithm for detecting attacks and reports its performance (true detection rate at a fixed false positive rate, or ROC AUC curve, by varying the true detection rate versus false positive rate, by changing the detection threshold).

CAMPUS SECURITY CRIME STATISTICS:

Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here (https://police.psu.edu/annual-security-reports) .

Employment with the University will require successful completion of background check(s) in accordance with University policies.

EEO IS THE LAW

Penn State is an equal opportunity, affirmative action employer, and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.

Federal Contractors Labor Law Poster (https://affirmativeaction.psu.edu/files/2022/01/Federal-Contractors-Labor-Law-Poster.pdf)

PA State Labor Law Poster

Affirmative Action (https://policy.psu.edu/policies/hr11)

Penn State Policies

Copyright Information (https://www.psu.edu/copyright-information)

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