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VERSION:2.0
PRODID:Data::ICal 0.24
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DESCRIPTION:   'Title: Machine Learning Security Evasion Competition Launch
 \n   When: Friday\, Aug 12\, 13:00 - 13:50 PDT\n   Where: Caesars Forum - 
 Summit 220->236 (AI Village) - [1]Map\n\n   SpeakerBio:Hyrum Anderson \n 
   No BIO available\n\n   Description:\n   Calling ML practitioners and sec
 urity researchers to compete in two\n   competitions. Returning to AI Vill
 age is the ML Security Evasion\n   Competition–with new twists for the o
 ffense-minded contestant. New\n   to AI Village this year is the ML Model 
 Attribution Challenge for\n   those interested in defense and compliance. 
 There are multiple ways to\n   win in each competition\, with first place 
 prizes at $3000 USD\,\n   honorable mention prizes at $1500 USD\, and mult
 iple student awards\n   also valued at $1500 USD. In all\, we’ll be givi
 ng away up to $20K\n   USD divided amongst up to 9 top contestants. The ch
 allenges begin now!\n\n   In the ML Security Evasion Competition ([2]https
 ://mlsec.io)\, you are\n   an attacker attempting to bypass HTML antiphish
 ing models\, and\n   biometric face recognition models in two separate cha
 llenges. Modify\n   HTML or image samples in a way to fool the models host
 ed by the\n   competition sponsors. Visit [3]https://mlsec.io to register\
 ,\n   participate\, submit and potentially win. You have 6 weeks to submit
 \n   (Sep 23\, 2022).\n\n   In the ML Model Attribution Challenge ([4]http
 s://mlmac.io)\, you take\n   the role of an adjudicator\, where you must d
 etermine which base model\n   has been used for several fined-tuned genera
 tive models hosted by the\n   competition sponsors. Query the models to in
 vestigate what might be\n   under the hood. Students are especially encour
 aged to apply\, with\n   additional travel awards given to top student sub
 missions to present\n   results at [5]https://camlis.org. Visit [6]https:/
 /mlmac.io to\n   register\, participate\, submit and potentially win. You 
 have 4 weeks to\n   submit (Sep 9\, 2022).\n\n   '\n\n   1. https://defcon
 .outel.org/consolidated_page.html#CaesarsSummitBR\n   2. https://mlsec.io\
 n   3. https://mlsec.io\n   4. https://mlmac.io\n   5. https://camlis.org.
 \n   6. https://mlmac.io\n\n\n
DTEND:20220812T205000Z
DTSTART:20220812T200000Z
LOCATION:AIV - Caesars Forum - Summit 220->236 (AI Village)
SUMMARY:Machine Learning Security Evasion Competition Launch
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