13 citations · 18 across the 4 of their papers we have counts for
4 papers
AxFormer: Accuracy-driven Approximation of Transformers for Faster, Smaller and more Accurate NLP Models
Amrit Nagarajan, Sanchari Sen, Jacob R. Stevens +1
Transformers have greatly advanced the state-of-the-art in Natural Language Processing (NLP) in recent years, but present very large computation and storage requirements. We observ…
Sparsity Turns Adversarial: Energy and Latency Attacks on Deep Neural Networks
Sarada Krithivasan, Sanchari Sen, Anand Raghunathan
Adversarial attacks have exposed serious vulnerabilities in Deep Neural Networks (DNNs) through their ability to force misclassifications through human-imperceptible perturbations…
EMPIR: Ensembles of Mixed Precision Deep Networks for Increased Robustness against Adversarial Attacks
Sanchari Sen, Balaraman Ravindran, Anand Raghunathan
Ensuring robustness of Deep Neural Networks (DNNs) is crucial to their adoption in safety-critical applications such as self-driving cars, drones, and healthcare. Notably, DNNs are…
SparCE: Sparsity aware General Purpose Core Extensions to Accelerate Deep Neural Networks
Sanchari Sen, Shubham Jain, Swagath Venkataramani +1
Deep Neural Networks (DNNs) have emerged as the method of choice for solving a wide range of machine learning tasks. The enormous computational demands posed by DNNs have most comm…