I am a Professor at Northeastern University in the Khoury College of Computer Sciences. I have a BS in Mathematics and Computer Science from University of Bucharest, Romania, and MS and PhD in Computer Science from Carnegie Mellon University. I joined Northeastern University in Fall 2016. Before that, I was a Research Scientist at RSA Laboratories for 9 years. I am the recipient of the Technology Review TR35 award for research in cloud security in 2011 and the Google Security and Privacy Award in 2019. I was on sabbatical at Google Research during the 2022-2023 academic year.

Selected Invited Talks

• On the Security and Privacy Risks of Generative AI Systems.
  Keynote at the IEEE European Symposium on Security and Privacy, July 2024
  
• Privacy Risks and Mitigations in Generative AI Systems.
  Invited talk at the JP Morgan Chase Data Privacy Week, January 2024
  Invited talk at Indiana University, April 2024
  
• Privacy Attacks in Machine Learning.
  Invited talk at the EPFL Summer Research Institute (SuRI), July 2023
  
• On the Connection between Integrity and Privacy Attacks in Adversarial Machine Learning.
  Invited talk at the MPI-SWS Research Symposium, March 2023.
• Resilient Collaborative AI for Cyber Defense.
  Invited talk at the Deep Learning Security Workshop (DLS) co-located with the IEEE Security and Privacy Symposium, May 2022.
• Auditing Differentially Private Machine Learning.
  Invited talk at the Workshop on Privacy Preserving Machine Learning, hosted by Apple, April 2022.
• Machine Learning Integrity and Privacy in Adversarial Environments.
  Invited talk at the Alan Turing Institute, March 2021. [Recording]
  Keynote at the ACM Symposium on Access Control Models and Technologies (SACMAT), June 2021
• Machine Learning Integrity in Adversarial Environments.
  Invited talk at the Security and Safety in Machine Learning Systems Workshop at ICLR, 2021.
• Towards Resilient Machine Learning in Adversarial Environments.
  Distinguished lecture at University of Virginia, 2019
  Keynote at the DYnamic and Novel Advances in Machine Learning and Intelligent Cyber Security (DYNAMICS) Workshop at the Annual Computer Security Applications Conference (ACSAC), 2020
  Invited talk at the Recent Advances in Artificial Intelligence for National Security (RAINNS) Workshop at MIT Lincoln Lab, 2020
  Invited talk at the PNNL MARS Seminar Series, 2020
• AI in Cybersecurity: Applications, Open Problems, and Future Directions.
  Keynote at the Annual Computer Security Applications Conference (ACSAC), 2018. [Slides]
  Keynote talk at the RISE-Ericsson Security Day, 2019
• Adversarial Poisoning Attacks and Defenses in Machine Learning Systems.
  Third ARO Adversarial Machine Learning Workshop, UT Dallas, November 2018
• Resilient machine learning in cyber security.
  Second International Conference on Recent Advances in Artificial Intelligence (RAAI), Bucharest, Romania, June 2018
• Resilient machine learning in the real world.
  MIT Lincoln Lab, CORE Seminar Series, November 2017
• Resilient machine learning in cybsersecurity applications.
  Northeastern University, Cybersecurity and Privacy Institute Opening, October 2017
• MOSAIC: A Platform for Monitoring and Security Analytics in Public Clouds.
  Massachusetts Open Cloud Annual Workshop, Boston University, December 2016
• Proactive breach detection with security analytics.
  PhD Open House for CCIS, Northeastern University, March 2017
  BBN, December 2016
  Tufts University CS Colloquium, November 2016
  CyberSEED Conference, University of Connecticut, October 2016
• Applications of Machine Learning in Security.
  Workshop on Cybersecurity Applications of Big Data, Boston University, January 2016
• Analytics-Based Security Service for the MOC.
  Massachusetts Open Cloud Annual Workshop, Boston University, November 2015
• Protecting Cloud Infrastructures against Modern Attacks.
  Secure Cloud Computing and Storage Workshop, Boston University, May 2015
  GREPSEC workshop for women in computer security research, May 2015
• Detecting Advanced Threats by Mining Large-Scale Log Data.
  New England Networking and Systems Day, Boston University, October 2014
• Early-Stage APT Detection by Mining Large-Scale Log Data.
  MIT Lincoln Laboratory, June 2014
• Beehive: Large-Scale Log Analysis for Anomaly Detection in Enterprise Networks.
  WPI security seminar, November 2013
  Guest lecture at UMass Boston course on computer forensics, December 2013
• Lessons from the FlipIt game.
  Workshop On Multi-Spectrum Metrics For Cyber Defense (WMMCD), MIT, October 2013
• New Approaches for Securing Cloud Data.
  Zurich Information Security Center (ZISC) Workshop, ETH Zurich, June 2012
  CDSP research workshop at Northeastern University, April 2012
  MIT security seminar, April 2012
• HomeAlone: Co-residency Detection in the Cloud via Side-Channel Analysis.
  MIT security seminar, March 2011
• HAIL: A High Availability and Integrity Layer for Cloud Storage.
  Guest lecture at cloud computing course at MIT, March 2011
  Microsoft Research Redmond Cryptography Colloquium, December 2009
  Crypto in the Clouds Workshop, MIT, August 2009
• Authentic Time-Stamping for Archival Storage.
  SNIA Technical Council and Board of Directors, EMC, USA August 2009
  Innovation Network Lecture Series sponsored by EMC Corporation, May 2009
• Efficient Integrity Algorithms for Storage Systems.
  SNIA Storage Security Summit, CMU, 2007