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DTSTART:20240310T030000
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DTSTAMP;TZID=America/Chicago:20260410T145256
UID:188257@calendar.wisc.edu
DTSTART;TZID=America/Chicago:20231113T110000
DTEND;TZID=America/Chicago:20231113T120000
DESCRIPTION:This is a joint talk between UW-Madison and Google.. We propose
  a methodology for planting watermarks in text from an autoregressive lang
 uage model that are robust to perturbations without changing the distribut
 ion over text up to a certain maximum generation budget. We generate water
 marked text by mapping a sequence of random numbers -- which we compute us
 ing a randomized watermark key -- to a sample from the language model. To 
 detect watermarked text\, any party who knows the key can align the text t
 o the random number sequence.\n\nCONTACT: 215-6702\, jha@cs.wisc.edu\n\nUR
 L: https://browse.arxiv.org/pdf/2307.15593.pdf\n\nONLINE: https://meet.goo
 gle.com/ftn-kvzw-uib
LOCATION:  (Online)
SUMMARY:Robust Distortion-free Watermarks for Language Models
URL;VALUE=URI:https://browse.arxiv.org/pdf/2307.15593.pdf
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