Streilein, William
Proceedings - AI/ML for Cybersecurity: Challenges, Solutions, and Novel Ideas at SIAM Data Mining 2021
Emanuello, John, Ferguson-Walter, Kimberly, Hemberg, Erik, Reilly, Una-May O, Ridley, Ahmad, Ross, Dennis, Staheli, Diane, Streilein, William
Malicious cyber activity is ubiquitous and its harmful effects have dramatic and often irreversible impacts on society. Given the shortage of cybersecurity professionals, the ever-evolving adversary, the massive amounts of data which could contain evidence of an attack, and the speed at which defensive actions must be taken, innovations which enable autonomy in cybersecurity must continue to expand, in order to move away from a reactive defense posture and towards a more proactive one. The challenges in this space are quite different from those associated with applying AI in other domains such as computer vision. The environment suffers from an incredibly high degree of uncertainty, stemming from the intractability of ingesting all the available data, as well as the possibility that malicious actors are manipulating the data. Another unique challenge in this space is the dynamism of the adversary causes the indicators of compromise to change frequently and without warning. In spite of these challenges, machine learning has been applied to this domain and has achieved some success in the realm of detection. While this aspect of the problem is far from solved, a growing part of the commercial sector is providing ML-enhanced capabilities as a service. Many of these entities also provide platforms which facilitate the deployment of these automated solutions. Academic research in this space is growing and continues to influence current solutions, as well as strengthen foundational knowledge which will make autonomous agents in this space a possibility.
Reports of the Workshops of the 32nd AAAI Conference on Artificial Intelligence
Bouchard, Bruno (Université du Québec à Chicoutimi) | Bouchard, Kevin (Université du Québec à Chicoutimi) | Brown, Noam (Carnegie Mellon University) | Chhaya, Niyati (Adobe Research, Bangalore) | Farchi, Eitan (IBM Research, Haifa) | Gaboury, Sebastien (Université du Québec à Chicoutimi) | Geib, Christopher (Smart Information Flow Technologies) | Gyrard, Amelie (Wright State University) | Jaidka, Kokil (University of Pennsylvania) | Keren, Sarah (Technion – Israel Institute of Technology) | Khardon, Roni (Tufts University) | Kordjamshidi, Parisa (Tulane University) | Martinez, David (MIT Lincoln Laboratory) | Mattei, Nicholas (IBM Research, TJ Watson) | Michalowski, Martin (University of Minnesota School of Nursing) | Mirsky, Reuth (Ben Gurion University) | Osborn, Joseph (Pomona College) | Sahin, Cem (MIT Lincoln Laboratory) | Shehory, Onn (Bar Ilan University) | Shaban-Nejad, Arash (University of Tennessee Health Science Center) | Sheth, Amit (Wright State University) | Shimshoni, Ilan (University of Haifa) | Shrobe, Howie (Massachusetts Institute of Technology) | Sinha, Arunesh (University of Southern California.) | Sinha, Atanu R. (Adobe Research, Bangalore) | Srivastava, Biplav (IBM Research, Yorktown Height) | Streilein, William (MIT Lincoln Laboratory) | Theocharous, Georgios (Adobe Research, San Jose) | Venable, K. Brent (Tulane University and IHMC) | Wagner, Neal (MIT Lincoln Laboratory) | Zamansky, Anna (University of Haifa)
The AAAI-18 workshop program included 15 workshops covering a wide range of topics in AI. Workshops were held Sunday and Monday, February 2–7, 2018, at the Hilton New Orleans Riverside in New Orleans, Louisiana, USA. This report contains summaries of the Affective Content Analysis workshop; the Artificial Intelligence Applied to Assistive Technologies and Smart Environments; the AI and Marketing Science workshop; the Artificial Intelligence for Cyber Security workshop; the AI for Imperfect-Information Games; the Declarative Learning Based Programming workshop; the Engineering Dependable and Secure Machine Learning Systems workshop; the Health Intelligence workshop; the Knowledge Extraction from Games workshop; the Plan, Activity, and Intent Recognition workshop; the Planning and Inference workshop; the Preference Handling workshop; the Reasoning and Learning for Human-Machine Dialogues workshop; and the the AI Enhanced Internet of Things Data Processing for Intelligent Applications workshop.
Reports of the 2016 AAAI Workshop Program
Albrecht, Stefano (The University of Texas at Austin) | Bouchard, Bruno (Université du Québec à Chicoutimi) | Brownstein, John S. (Harvard University) | Buckeridge, David L. (McGill University) | Caragea, Cornelia (University of North Texas) | Carter, Kevin M. (MIT Lincoln Laboratory) | Darwiche, Adnan (University of California, Los Angeles) | Fortuna, Blaz (Bloomberg L.P. and Jozef Stefan Institute) | Francillette, Yannick (Université du Québec à Chicoutimi) | Gaboury, Sébastien (Université du Québec à Chicoutimi) | Giles, C. Lee (Pennsylvania State University) | Grobelnik, Marko (Jozef Stefan Institute) | Hruschka, Estevam R. (Federal University of São Carlos) | Kephart, Jeffrey O. (IBM Thomas J. Watson Research Center) | Kordjamshidi, Parisa (University of Illinois at Urbana-Champaign) | Lisy, Viliam (University of Alberta) | Magazzeni, Daniele (King's College London) | Marques-Silva, Joao (University of Lisbon) | Marquis, Pierre (Université d'Artois) | Martinez, David (MIT Lincoln Laboratory) | Michalowski, Martin (Adventium Labs) | Shaban-Nejad, Arash (University of California, Berkeley) | Noorian, Zeinab (Ryerson University) | Pontelli, Enrico (New Mexico State University) | Rogers, Alex (University of Oxford) | Rosenthal, Stephanie (Carnegie Mellon University) | Roth, Dan (University of Illinois at Urbana-Champaign) | Sinha, Arunesh (University of Southern California) | Streilein, William (MIT Lincoln Laboratory) | Thiebaux, Sylvie (The Australian National University) | Tran, Son Cao (New Mexico State University) | Wallace, Byron C. (University of Texas at Austin) | Walsh, Toby (University of New South Wales and Data61) | Witbrock, Michael (Lucid AI) | Zhang, Jie (Nanyang Technological University)
The Workshop Program of the Association for the Advancement of Artificial Intelligence's Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16) was held at the beginning of the conference, February 12-13, 2016. Workshop participants met and discussed issues with a selected focus -- providing an informal setting for active exchange among researchers, developers and users on topics of current interest. To foster interaction and exchange of ideas, the workshops were kept small, with 25-65 participants. Attendance was sometimes limited to active participants only, but most workshops also allowed general registration by other interested individuals.
Reports of the 2016 AAAI Workshop Program
Albrecht, Stefano (The University of Texas at Austin) | Bouchard, Bruno (Université du Québec à Chicoutimi) | Brownstein, John S. (Harvard University) | Buckeridge, David L. (McGill University) | Caragea, Cornelia (University of North Texas) | Carter, Kevin M. (MIT Lincoln Laboratory) | Darwiche, Adnan (University of California, Los Angeles) | Fortuna, Blaz (Bloomberg L.P. and Jozef Stefan Institute) | Francillette, Yannick (Université du Québec à Chicoutimi) | Gaboury, Sébastien (Université du Québec à Chicoutimi) | Giles, C. Lee (Pennsylvania State University) | Grobelnik, Marko (Jozef Stefan Institute) | Hruschka, Estevam R. (Federal University of São Carlos) | Kephart, Jeffrey O. (IBM Thomas J. Watson Research Center) | Kordjamshidi, Parisa (University of Illinois at Urbana-Champaign) | Lisy, Viliam (University of Alberta) | Magazzeni, Daniele (King's College London) | Marques-Silva, Joao (University of Lisbon) | Marquis, Pierre (Université d'Artois) | Martinez, David (MIT Lincoln Laboratory) | Michalowski, Martin (Adventium Labs) | Shaban-Nejad, Arash (University of California, Berkeley) | Noorian, Zeinab (Ryerson University) | Pontelli, Enrico (New Mexico State University) | Rogers, Alex (University of Oxford) | Rosenthal, Stephanie (Carnegie Mellon University) | Roth, Dan (University of Illinois at Urbana-Champaign) | Sinha, Arunesh (University of Southern California) | Streilein, William (MIT Lincoln Laboratory) | Thiebaux, Sylvie (The Australian National University) | Tran, Son Cao (New Mexico State University) | Wallace, Byron C. (University of Texas at Austin) | Walsh, Toby (University of New South Wales and Data61) | Witbrock, Michael (Lucid AI) | Zhang, Jie (Nanyang Technological University)
The Workshop Program of the Association for the Advancement of Artificial Intelligence’s Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16) was held at the beginning of the conference, February 12-13, 2016. Workshop participants met and discussed issues with a selected focus — providing an informal setting for active exchange among researchers, developers and users on topics of current interest. To foster interaction and exchange of ideas, the workshops were kept small, with 25-65 participants. Attendance was sometimes limited to active participants only, but most workshops also allowed general registration by other interested individuals. The AAAI-16 Workshops were an excellent forum for exploring emerging approaches and task areas, for bridging the gaps between AI and other fields or between subfields of AI, for elucidating the results of exploratory research, or for critiquing existing approaches. The fifteen workshops held at AAAI-16 were Artificial Intelligence Applied to Assistive Technologies and Smart Environments (WS-16-01), AI, Ethics, and Society (WS-16-02), Artificial Intelligence for Cyber Security (WS-16-03), Artificial Intelligence for Smart Grids and Smart Buildings (WS-16-04), Beyond NP (WS-16-05), Computer Poker and Imperfect Information Games (WS-16-06), Declarative Learning Based Programming (WS-16-07), Expanding the Boundaries of Health Informatics Using AI (WS-16-08), Incentives and Trust in Electronic Communities (WS-16-09), Knowledge Extraction from Text (WS-16-10), Multiagent Interaction without Prior Coordination (WS-16-11), Planning for Hybrid Systems (WS-16-12), Scholarly Big Data: AI Perspectives, Challenges, and Ideas (WS-16-13), Symbiotic Cognitive Systems (WS-16-14), and World Wide Web and Population Health Intelligence (WS-16-15).