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Events for October 27, 2022
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Six Sigma Green Belt for Process ImprovementThu, Oct 27, 2022 @ 09:00 AM - 05:00 PM
Executive Education
Conferences, Lectures, & Seminars
Speaker: TBD, TBD
Talk Title: Six Sigma Green Belt
Abstract: USC Viterbi School of Engineering's Six Sigma Green Belt for Process Improvement, offered in partnership with the Institute of Industrial and Systems Engineers, allows professionals to learn how to integrate principles of business, statistics, and engineering to achieve tangible results. Master the use of Six Sigma to quantify the critical quality issues in your company. Once the issues have been quantified, statistics can be applied to provide probabilities of success and failure. Six Sigma methods increase productivity and enhance quality. As a USC Six Sigma Green Belt, you will be equipped to support and champion a Six Sigma implementation in your organization. To earn the USC Six Sigma Green Belt Certificate, you will be required to pass the Institute of Industrial and Systems Engineer's green belt exam (administered on the final day of the course).
Host: Executive Education
More Info: https://viterbiexeced.usc.edu/engineering-program-areas/six-sigma-lean-certification/six-sigma-green-belt-process-improvement/
Audiences: Registered Attendees
Contact: Corporate and Professional Programs
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NL Seminar
Thu, Oct 27, 2022 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Eric Wallace, University of Cal-Berkeley
Talk Title: Emerging Vulnerabilities in Large-scale NLP Models
Series: NL Seminar
Abstract: Abstract: REMINDER
Meeting hosts only admit guests that they know to the Zoom meeting. Hence, you are highly encouraged to use your USC account to sign into Zoom.
If you are an outside visitor, please inform us at nlg DASH seminar DASH host AT isi DOT edu beforehand so we will be aware of your attendance and let you in.
In person attendance will be permitted for USC ISI faculty, staff, students only. Open to the public virtually via the zoom link and online.
The current era of machine learning and natural language processing is dominated by scale modern models use supermassive parameter counts, dataset sizes, and compute budgets. While this scaling undoubtedly unlocks new capabilities and performance improvements, it may also expose new vulnerabilities, risks, and harms. In this talk, I will discuss a series of vulnerabilities that emerge in large scale NLP models that not only expose worrisome security and privacy risks, but also provide new perspectives into how and why the models work. Concretely, I will show how adversaries can extract private training data, steal model weights, and poison training sets, all using limited black box access to models. Throughout the talk, I'll provide a particular focus on insights that we can derive from these attacks, especially regarding the impact of model scaling.
Biography: Eric Wallace is a 4th year PhD student at UC Berkeley advised by Dan Klein and Dawn Song. His research interests focus on making large language models more robust, trustworthy, secure, and private. Eric's work is supported by the Apple Fellowship in AI/ML, and he received the best demo award at EMNLP 2019.
Host: Jon May and Meryem M'hamdi
More Info: https://nlg.isi.edu/nl-seminar/
Webcast: https://www.youtube.com/watch?v=42LNH1dTlggLocation: Information Science Institute (ISI) - Virtual and ISI-Conf Rm#689
WebCast Link: https://www.youtube.com/watch?v=42LNH1dTlgg
Audiences: Everyone Is Invited
Contact: Pete Zamar
Event Link: https://nlg.isi.edu/nl-seminar/
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Networking Workshop
Thu, Oct 27, 2022 @ 12:00 PM - 01:00 PM
Viterbi School of Engineering Career Connections
Workshops & Infosessions
THIS EVENT WILL BE HOSTED HYBRID: IN-PERSON & ONLINE SIMULTANEOUSLY
Increase your career and internship knowledge on networking by attending this professional development Q&A moderated by Viterbi Career Connections staff.
To access more information on this workshop, log into Viterbi Career Gateway>> Events>>Workshops: https://shibboleth-viterbi-usc-csm.symplicity.com/sso/
For more information about all workshops, please visit viterbicareers.usc.edu/workshops.
For In-Person: Attendance is limited to room capacity
Location: Ronald Tutor Hall of Engineering (RTH) - 211
Audiences: Everyone Is Invited
Contact: RTH 218 Viterbi Career Connections
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DEN@Viterbi - Online Graduate Engineering Virtual Information Session
Thu, Oct 27, 2022 @ 12:00 PM - 01:00 PM
DEN@Viterbi, Viterbi School of Engineering Graduate Admission
Workshops & Infosessions
Join USC Viterbi School of Engineering for a virtual information session via WebEx, providing an introduction to DEN@Viterbi, our top ranked online delivery system. Discover the 40+ graduate engineering and computer science programs available entirely online.
Attendees will have the opportunity to connect directly with USC Viterbi representatives during the session to discuss the admission process, program details and the benefits of online delivery.
Register Today!WebCast Link: https://uscviterbi.webex.com/uscviterbi/onstage/g.php?MTID=ef085f09ad6f38be70485eb02301b870e
Audiences: Everyone Is Invited
Contact: Corporate & Professional Programs
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CEE Seminar Series
Thu, Oct 27, 2022 @ 02:00 PM - 03:00 PM
Sonny Astani Department of Civil and Environmental Engineering
Conferences, Lectures, & Seminars
Speaker: Thomas Harmon, University of California Merced
Talk Title: Labor and Automation in California Agriculture (LACA): Equity, Productivity, and Resilience
Abstract: See attached
Host: Amy Childress and Felipe de Barros
More Information: Thomas Harmon Speaker 10272022.pdf
Location: Kaprielian Hall (KAP) - 209
Audiences: Everyone Is Invited
Contact: Salina Palacios
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CS Colloquium: Matteo Sesia (USC Marshall School of Business) - Conformal inference for uncertainty-aware classification
Thu, Oct 27, 2022 @ 03:30 PM - 04:50 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Matteo Sesia, USC Marshall School of Business
Talk Title: Conformal inference for uncertainty-aware classification
Series: Computer Science Colloquium
Abstract: Complex machine learning classifiers, including deep neural networks, are sometimes able to achieve very high predictive accuracy, but they are not designed to realistically capture uncertainty or to estimate reliable probabilities. In fact, these models are often overconfident, and this issue can make it challenging for practitioners to accept the use of machine learning algorithms in delicate real-world applications. This talk will describe recent advances in the field of conformal inference which allow us to address the overconfidence of machine learning classifiers. First, this talk will present a powerful and statistically principled methodology for assessing the uncertainty of predictions computed by any pre-trained classification model, in such a way as to account for possible heterogeneity in the levels of uncertainty affecting different individual data points. Then, building upon the previous results, this talk will present a novel methodology for training deep neural networks in such a way as to learn multi-class classification models that are less prone to overconfidence, ultimately leading to even more reliable uncertainty-aware predictions.
Prof. Sesia will give his talk in person at RTH 115 and we will also host the talk over Zoom.
Join Zoom Meeting
https://usc.zoom.us/j/92821217575
Meeting ID: 928 2121 7575
This lecture satisfies requirements for CSCI 591: Research Colloquium.
Biography: Matteo Sesia is an assistant professor in the department of Data Sciences and Operation at the USC Marshall School of Business.
Matteo joined USC Marshall in 2020, immediately after earning a PhD in Statistics from Stanford University, where he was advised by Emmanuel Candes. Matteo's research primarily focuses on developing novel methodology for model-free statistical inference with big data, and on developing statistically principled algorithms for uncertainty-aware machine learning.
Host: Yan Liu
Webcast: https://usc.zoom.us/j/92821217575Location: Ronald Tutor Hall of Engineering (RTH) - 115
WebCast Link: https://usc.zoom.us/j/92821217575
Audiences: Everyone Is Invited
Contact: Department of Computer Science
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WIE Ericsson Professional Watch Party
Thu, Oct 27, 2022 @ 05:00 PM - 06:00 PM
Viterbi School of Engineering Student Affairs
Workshops & Infosessions
Ericsson is HIRING for EE and CE and hosting an online info session welcoming all engineering majors to the event. They will be sharing LinkedIn best practices. Students who RSVP and submit their resumes to the following link: https://forms.gle/5YhjZypSdhiypFbJ7
before the event will have a chance to win an Amazon gift card from Ericsson! Food will be provided in RTH 211 during the watch party!Location: Sign into EngageSC to View Location
Audiences: Everyone Is Invited
Contact: Maia Calderon-Ramos
Event Link: https://engage.usc.edu/WIE/rsvp?id=387392
