Reproducible Codes and Cryptographic Applications
In this talk I will present a work in progress on structured linear block codes. The investigation starts from well-known examples and generalizes them to a wide class of codes that we call reproducible codes.…
Towards Secure and Interpretable AI: Scalable Methods, Interactive Visualizations, and Practical Tools
The explosion of available idea repositories — scientific papers, patents, product descriptions — represents an unprecedented opportunity to accelerate innovation and lead to a wealth of discoveries. Given the scale of the problem and its…
When deep learning met code search
Decoding Multisensory Attention from Electroencephalography for Use in a Brain-Computer Interface
Brain-computer interfaces (BCIs) offer a non-verbal and covert way for humans to interact with a machine. They are designed to interpret user’s brain state that can be translated into action or other communication purposes. While…
Efficient Robot Skill Learning: Grounded Simulation Learning and Imitation Learning from Observation
For autonomous robots to operate in the open, dynamically changing world, they will need to be able to learn a robust set of skills from relatively little experience. This talk begins by introducing Grounded Simulation…
Algorithmic Improvisation for Dependable and Secure Autonomy
Algorithmic Improvisation, also called control improvisation, is a new framework for automatically synthesizing systems with random but controllable behavior. In this talk, I will present the theory of algorithmic improvisation and show how it can…
Revisiting the refactoring mechanics
Differential Regression Testing for REST APIs
Coverage Guided, Property Based Testing
Property-based random testing, exemplified by frameworks such as Haskell’s QuickCheck, works by testing an executable predicate (a property) on a stream of randomly generated inputs. Property testing works very well in many cases, but not…