Upcoming Events

PhD Dissertation Defense: Improving the Resilience of the Power Grid Ahmet Oner Location: Teams Meeting Abstract: The power grid constitutes one of the most critical infrastructures that have significant interdependencies with various others such as communication, transportation, emergency, and health-care delivery systems. A disruption in the operation of the power grid may affect the operation of all others in an undesirable manner. Therefore, improving the resiliency of power grids can also help increase the resiliency of other critical infrastructures. This…

PhD Dissertation Defense: Spectral Ranking Regression Ilkay Yildiz Location: Zoom Link Abstract: We consider learning from ranking labels generated as follows: given a query set of samples in a dataset, a labeler ranks the samples w.r.t.~her preference. Such ranking labels scale exponentially with query set size; most importantly, in practice, they often exhibit lower variance compared to class labels. We propose a new neural network architecture based on siamese networks to incorporate both class and comparison labels, i.e., rankings of…

MS Thesis Defense: Supervised Classification on Deep Neural Network Attack Toolchains Yize Li Location: Zoom Link Abstract: Deep learning, while an important machine learning technique, is susceptible to adversarial example attacks. Adversarial examples generated by adding perturbations on clean images/video frames can lead to mis-predictions of deep neural networks. Moreover, deep learning/machine learning can be used to deceive humans by generating adversarial falsified media e.g., deepfake attacks. The thesis work will study the above two attack scenarios, i.e., machine-centric adversary…

MS Thesis Defense: Variation is the Norm: Brain State Dynamics Evoked By Emotional Video Clips Ashutosh Singh Location: Zoom Link Abstract: Past affective neuroscience studies have attempted to identify a “biomarker” or consistent pattern of brain activity (as measured externally using, for instance, fMRI) to indicate the presence of a single pre-defined category of emotion (e.g., fear) that remains consistent throughout all instances of that category for an individual across contexts and even across individuals. In this thesis, we investigated…

MS Thesis Defense: Reconstruction of Sulcal Geometry in Brain Stimulation Models using Spherical Harmonics Hao Chen Location: Zoom Link Abstract: Over the past few years, there has been increasing interest in transcranial electrical stimulation (tCS) and thus it has been the subject of a growing number of simulation studies. Indeed, some federal agencies in the US now require model-based simulations to be included as part of tCS grant proposal. In order to obtain more accurate simulation results and guide the…

MS Thesis Defense: Optimizations of Caching Networks: Fairness and Application to Mobile Networks Yuezhou Liu Location: Zoom Link Abstract: In-network caching is playing a more and more important role in today's network architectures, because of the explosive growth of data traffic due to the proliferation of mobile devices and demands for high-volume media content, as well as the development of low-latency applications, such as VR/AR and cloud gaming. The replication of popular contents in the caches that located closer to…

MS Thesis Defense: A novel simple power analysis (SPA) attack on Elliptic Curve Cryptography (ECC) Tianhong Xu Location: Zoom Link Abstract: Elliptic Curve Cryptography (ECC), as a widely used public-key cryptography, is vulnerable to simple power analysis(SPA) attacks. There are many countermeasures against simple power analysis(SPA) attacks on ECC implementation, the Always-add algorithm is one of the most popular countermeasures. This research proposes a new SPA attack which is effective to the ECC encrypting implemented with Always-add algorithm, it uses…