AdvMLFrontiers
@AdvMLFrontiers
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Official Twitter account of the organizers of the New Frontiers in Adversarial Machine Learning Workshop at NeurIPS 2024. Stay in touch for updates!
Vancouver, Canada
Joined March 2023
A timely reminder of our two rising star awardees who will be giving talks next week Saturday @NeurIPSConf , East Ballroom C, 15:30 and 15:45. Congratulations again!
Please join me in congratulating this year's #AdvML Rising Star Award winners, @AlexRobey23 & @xuandongzhao, for their research accomplishments in AI robustness and safety. Their award talks will be presented at @AdvMLFrontiers @NeurIPSConf 2024 Details: https://t.co/cNWnMTZ6HG
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Finally, we are glad to host Cornelia Caragea (NSF, US), who will be presenting , Saturday at 15:00: ‘Do LLMs Possess Emotional Intelligence?’. Thank you Cornelia!
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Another highlight: @fraboeni at 10:10, presenting ‘From Risks to Resilience: Protecting Privacy in Adapted Language Models’. Thank you, Franziska!
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We are also grateful for @Eleni30fillou‘s presentation about: ‘Unlearning memorized data from trained models’. Please join Saturday at 9:40 for this talk!
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Further thanks go to Alvaro Velasquez (DARPA), who presents Saturday at 14:00 his talk ‘Frontiers in Adversarial AI: Autonomy and Biology’.
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Another program sneak-peek: @HodaHeidari presenting, Saturday at 14:30, ‘Red-Teaming for Generative AI: Past, Present, and Future’. Thank you Hoda!
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Program outlook: Thanks to @AlinaMOprea, who presents at 9:10 local time her talk 'Training Secure Agents: Is Reinforcement Learning Vulnerable to Poisoning Attacks?'
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🏆 "Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks" by Lukas Gosch, @maha81193, Debarghya Ghoshdastidar, @guennemann
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🏆 "Can Watermarking Large Language Models Prevent Copyrighted Text Generation and Hide Training Data?" by @michael_panaite, @zorache_, @bang_an_, @Yuancheng_Xu0, Pankayaraj Pathmanathan, Souradip Chakraborty, @sichengzhuml, @tomgoldsteincs, @furongh
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📢 We are delighted to reveal the Best Paper Awards: 🏆 Can Watermarking Large Language Models Prevent Copyrighted Text Generation and Hide Training Data? and 🏆 Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks 👏👏👏
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We look forward to your attendance and active participation in what promises to be an engaging and thought-provoking workshop on Dec. 14, 2024. 🌟
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🚀 Not even a week left until our workshop @ NeurIPS 2024! 🚀 We’re delighted to share that the (tentative) program schedule for the AdvML-Frontiers workshop is now available! Check it out here: https://t.co/rWyB1mNO9g.
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All of August left to prepare an amazing Workshop submission, allowing you to travel to Vancouver, discuss with the other #AdvML folks, and attend great invited talks! We are looking forward to your submissions!
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For all young researchers, the AdvML Rising Star Award deadline is on September 2nd, Deadline for recommendation letters is September 9th. Please share with promising candidates!
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Organizers are @sijialiu17 @pinyuchenTW @dongxiaozhu @RICEric22 @YaoQin_UCSB @KathrinGrosse @baharanm and @sanmikoyejo . We are looking forward to the workshop with all of you!
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📢 We're back with a new edition, this year at @NeurIPSConf in Vancouver! Paper deadline is August 30th, we are looking forward to your submissions!
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📢We would like to congratulate this year's winners of the best Paper award: 🎊 Cudos to @AlexRobey23, @fabianlat, @pappasg69, @HamedSHassani, and @CevherLIONS for their paper 'Adversarial Training Should Be Cast as a Non-Zero-Sum Game'! 🎉
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📢 Our program is online: https://t.co/rWyB1mNgjI We are looking forward to receiving and discussing with all of you the new frontiers in adversarial ML!
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📢And exactly one more week to go if you want to submit your awesome work! 👉New Deadline: May 28 '23 AoE
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One more month to go until the deadline - We are looking forward to receiving many exciting, intriguing, and insightful papers!
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