Matches in SemOpenAlex for { <https://semopenalex.org/work/W4233977980> ?p ?o ?g. }
Showing items 1 to 39 of
39
with 100 items per page.
- W4233977980 abstract "It is our great pleasure to welcome you to the 4th ACM Workshop on Artificial Intelligence & Security -- AISec'2011. This year's workshop continues on its original mission of stimulating collaboration and cross-pollination between the Security & Privacy and Artificial Intelligence research communities. We are delighted to once again be co-located with the premier ACM Computer and Communication Security (CCS 2011) conference. The call for papers attracted 18 high quality submissions spanning North & South America, Europe, the Middle East & Asia, and representing both academia and industry. Of these submissions, the Program Committee accepted 7 research papers and 3 position papers, making for a wonderful program that will bring together leading researchers with backgrounds in both Security & Privacy and AI. This year's ACM AISec will cover such topics as identifying workers hired online for web service abuse, malware and malicious webpage detection, probabilistic attack planning, and intrusion analysis. In addition the program includes an exciting keynote by Prof. Dawn Song of UC Berkeley who is an internationally recognized leader in Security & Privacy research with extensive experience applying state-of-the-art techniques from Machine Learning to exposing vulnerabilities in real-world systems and to developing robust defenses. These proceedings feature an invited paper, Adversarial Machine Learning, following from the AISec'2010 keynote delivered by Prof. J. D. Tygar (UC Berkeley), whose work investigates Machine Learning through the lens of Security & Privacy, an important topic also covered by one of this year's position papers." @default.
- W4233977980 created "2022-05-12" @default.
- W4233977980 date "2011-10-21" @default.
- W4233977980 modified "2023-09-23" @default.
- W4233977980 title "Proceedings of the 4th ACM workshop on Security and artificial intelligence" @default.
- W4233977980 doi "https://doi.org/10.1145/2046684" @default.
- W4233977980 hasPublicationYear "2011" @default.
- W4233977980 type Work @default.
- W4233977980 citedByCount "1" @default.
- W4233977980 countsByYear W42339779802014 @default.
- W4233977980 crossrefType "proceedings" @default.
- W4233977980 hasConcept C136764020 @default.
- W4233977980 hasConcept C154945302 @default.
- W4233977980 hasConcept C38652104 @default.
- W4233977980 hasConcept C41008148 @default.
- W4233977980 hasConcept C541664917 @default.
- W4233977980 hasConcept C78780964 @default.
- W4233977980 hasConceptScore W4233977980C136764020 @default.
- W4233977980 hasConceptScore W4233977980C154945302 @default.
- W4233977980 hasConceptScore W4233977980C38652104 @default.
- W4233977980 hasConceptScore W4233977980C41008148 @default.
- W4233977980 hasConceptScore W4233977980C541664917 @default.
- W4233977980 hasConceptScore W4233977980C78780964 @default.
- W4233977980 hasLocation W42339779801 @default.
- W4233977980 hasOpenAccess W4233977980 @default.
- W4233977980 hasPrimaryLocation W42339779801 @default.
- W4233977980 hasRelatedWork W1827256152 @default.
- W4233977980 hasRelatedWork W1936417930 @default.
- W4233977980 hasRelatedWork W2259219744 @default.
- W4233977980 hasRelatedWork W2748952813 @default.
- W4233977980 hasRelatedWork W2774686757 @default.
- W4233977980 hasRelatedWork W2905264292 @default.
- W4233977980 hasRelatedWork W2969309937 @default.
- W4233977980 hasRelatedWork W3016595359 @default.
- W4233977980 hasRelatedWork W3042673639 @default.
- W4233977980 hasRelatedWork W4205985752 @default.
- W4233977980 isParatext "false" @default.
- W4233977980 isRetracted "false" @default.
- W4233977980 workType "paratext" @default.