AI and Cybersecurity

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Artificial intelligence is playing an increasingly critical role in the field of cybersecurity, both as a tool that can be leveraged as a threat, or as a solution to that threat. At the Center for Cybersecurity, researchers are working to better understand the former, through initiatives like a recent study showing the potential vulnerabilities in AI generated code, while expanding its use for the latter through projects that include producing simulated bugs to improve detection and testing methods.  (See related research projects under Disinformation and Deepfakes, Privacy and Data Protection, Supply Chain Security)

Relevant Faculty

  1. Brendan Dolan-Gavitt
  2. Siddharth Garg
  3. Rachel Greenstadt
  4. Michail Maniatakos
  5. Damon McCoy
  6. Nasir Memon
  7. Brandon Reagen
  8. Judith Germano

Lab Links

  1. MESS Lab
  2. EnSuRe Research Group

Sample Projects/Papers/Programs

  1. DeepReDuce
  2. Subverting GANs
  3. Digital Fingerprints
  4. Assessing the Security of GitHub Copilot’s Code
  5. How Instagram “Pods” Manipulate Social Media Popularity
  6. Characterizing and Optimizing End-to-End Systems for Private Inference
  7. FaceHack: Attacking Facial Recognition Systems Using Malicious Facial Characteristics
  8. AI vs. Humans (CSAW competition)

Sample Projects/Papers/Programs

  1. DeepReDuce
  2. Subverting GANs
  3. Digital Fingerprints
  4. Assessing the Security of GitHub Copilot’s Code
  5. How Instagram “Pods” Manipulate Social Media Popularity
  6. Characterizing and Optimizing End-to-End Systems for Private Inference
  7. FaceHack: Attacking Facial Recognition Systems Using Malicious Facial Characteristics
  8. AI vs. Humans (CSAW competition)

Grants

  1. NSF Early Career Development Award (Brendan Dolan-Gavitt)
  2. DARPA Grant (Brandon Reagen and Michail Maniatakos)