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dawn xiaodong song s home page dawn song bio professor computer science division university of california berkeley follow dawnsongtweets news selected as ai2050 senior fellow by schmidt sciences 2025 elected as a member of american academy of arts and sciences aaas 2025 launched 3rd edition of our agentic ai mooc with 32k enrolled globally in the series september 2025 berkeley rdi hosted agentic ai summit at uc berkeley with 2k in person attendees and 40k joined online the largest agentic ai gathering we know of august 2025 distinguished paper award at ieee symposium on security and privacy s p datasentinel a game theoretic detection of prompt injection attacks 2025 keynote at iclr towards building safe and secure ai lessons and open challenges april 2025 outstanding paper award runner up at iclr data shapley in one training run 2025 research research interests ai safety and security agentic ai deep learning decentralization technology security and privacy i am the co director of uc berkeley center on responsible decentralized intelligence rdi i am also part of the berkeley artificial intelligence research bair lab the berkeley deep drive bdd berkeley center for human compatible ai publications google scholar dblp past publications selected current research thrusts and projects ai safety and security frontier ai for program synthesis and cybersecurity sample past research projects awards selected best outstanding paper awards distinguished paper award at 46th ieee symposium on security and privacy 2025 best scientific cybersecurity paper award by national security agency nsa 2024 outstanding paper award at neurips 2023 best paper award at acm symposium on user interface software and technology uist 2023 distinguished paper award at oopsla 2019 distinguished paper award at international symposium on software testing and analysis issta 2018 best paper award at iclr 2017 best applied security research paper award at t 2010 best paper award usenix security symposium 2007 test of time paper awards test of time award at rsa conference 2026 3 test of time awards at ieee symposium on security and privacy 2020 test of time award at acm conference on computer and communications security 2011 finalists honorable mention outstanding paper award runner up at iclr 2025 best research paper award finalist at vldb 2024 best paper award honorable mention at chi 2024 caspar bowden award runner up at pet 2023 recognition selected elected academy member elected member of american academy of arts and sciences aaas 2025 fellows ai2050 senior fellow schmidt sciences 2025 acm fellow 2020 ieee fellow 2019 macarthur fellow 2010 guggenheim fellow 2010 sloan research fellow 2007 other honors and awards outstanding innovation award acm sigsac 2020 wired25 list of innovators 2019 female founder 100 list inc 2019 aminer most influential scholar award as most cited scholar in computer security 2016 li ka shing foundation women in science distinguished lecture series award 2010 mit technology review tr 35 award recognizing the world s top innovators under the age of 35 2009 okawa foundation research award 2008 george tallman ladd research award carnegie mellon university 2007 nsf career award 2005 services selected world economic forum agi global council 2025 present program co chair iclr 2020 program senior area chair icml 2026 neurips 2025 neurips 2024 program area chair icml 2018 neurips 2018 steering committee mlsys conference 2018 present monetary authority of singapore s international technology advisory panel 2021 2023 science advisory board santa fe institute 2014 2017 teaching cs194 294 196 agentic ai with xinyun chen fall 25 mooc cs194 294 280 advanced large language model agents with xinyun chen and kaiyu yang spring 25 mooc cs194 294 196 large language model agents with xinyun chen fall 24 mooc cs294 267 cs194 267 understanding large language models foundations and safety with dan hendrycks spring 24 cs294 196 cs194 196 responsible genai and decentralized intelligence with matei zaharia fall 23 talks selected keynote at microsoft machine learning ai data science conference june 2025 towards building safe and secure ai lessons and open challenges keynote at iclr april 2025 towards building safe and secure ai lessons and open challenges invited talk at rsa april 2025 building safe and secure agentic ai keynote at amazon machine learning conference october 2024 towards building safe and secure ai lessons and open challenges keynote at graph the planet may 2024 impact of frontier ai on the landscape of cybersecurity invited talk at stanford workshop on the governance of open foundation models february 2024 impact of frontier ai on the landscape of cybersecurity keynote at mlsys aug 2022 towards building a responsible data economy keynote at ieee big data dec 2021 towards building a responsible data economy keynote at acm ccs nov 2021 towards building a responsible data economy keynote at icde april 2021 towards building a responsible data economy keynote at aaai 2020 february 2020 ai and security lessons challenges and future directions plenary keynote at kdd deep learning day august 2019 ai and security lessons challenges and future directions keynote at cav 2019 july 2019 open challenges in ai and formal verification invited talk at deep reinforcement learning summit june 2019 secure deep reinforcement learning keynote at scaledml march 2019 ai and security lessons and future directions invited talk at emtech digitals march 2019 ai and security lessons and future directions distinguished lecture at brown university distinguished lecture series october 2018 ai and security lessons challenges and future directions keynote at ieee cybersecurity development conference october 2018 building and deploying secure systems in practice lessons challenges and future directions keynote at oreilly ai conference september 2018 ai and security lessons challenges and future directions invited talk at microsoft research faculty summit august 2018 towards secure practical confidential computing with open source secure enclave keynote at icml 2018 july 2018 ai and security lessons challenges and future directions keynote at spark summit june 2018 the future of ai and security keynote at asplos workshop march 2018 towards an open source formally verified secure enclave invited talk at representation learning workshop march 2017 resilient representation and provable generalization keynote at apple machine learning summit february 2017 secure and privacy preserving data analytics and machine learning keynote at fmcad october 2016 formal verification for computer security lessons learned and future directions keynote at qualcomm research day june 2015 towards security in a connected world distinguished lecture at upenn april 2015 no more cat and mouse towards building systems secure by construction job openings positions are available for postdocs research staff staff programmers and interns in areas in security privacy and deep learning if you are interested in applying for a position please fill out the form here and then send an email to dawnsong jobs gmail com if you are interested please do not send me emails directly without filling in the form for berkeley undergrads we enjoy having undergrads participate in our research projects to gain research experience to be selected normally we expect the students to have a gpa of at least 3 7 in eecs or math major or have extensive experience in areas related to the project if interested please apply through the urap program you are also welcome to fill in the form mentioned above at any time please do not send me emails directly without first applying through urap and or fill in the form above unless instructed misc past teaching professional activities former students and postdocs