An Accuracy Tunable Non-Boolean Co-Processor Using Coupled Nano-Oscillators. - Neel Gala; Sarada Krithivasan; Wei-Yu Tsai; Xueqing Li 002; Vijaykrishnan Narayanan; V. Kamakoti 001 (ACM J. Emerg. Technol. Comput. Syst., 2018)

Dynamic Spike Bundling for Energy-Efficient Spiking Neural Networks. - Sarada Krithivasan; Sanchari Sen; Swagath Venkataramani; Anand Raghunathan (ISLPED, 2019)

Adversarial Sparsity Attacks on Deep Neural Networks. - Sarada Krithivasan; Sanchari Sen; Anand Raghunathan (CoRR, 2020)

Sparsity Turns Adversarial: Energy and Latency Attacks on Deep Neural Networks. - Sarada Krithivasan; Sanchari Sen; Anand Raghunathan (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

Efficiency attacks on spiking neural networks. - Sarada Krithivasan; Sanchari Sen; Nitin Rathi; Kaushik Roy 001; Anand Raghunathan (DAC, 2022)

Seprox: Sequence-Based Approximations for Compressing Ultra-Low Precision Deep Neural Networks. - Aradhana Mohan Parvathy; Sarada Krithivasan; Sanchari Sen; Anand Raghunathan (ICCAD, 2022)

MixTrain: accelerating DNN training via input mixing. - Sarada Krithivasan; Sanchari Sen; Swagath Venkataramani; Anand Raghunathan (Frontiers Artif. Intell., 2024)

DNNDaSher: A Compiler Framework for Dataflow Compatible End-to-End Acceleration on IBM AIU. - Sanchari Sen; Shubham Jain; Sarada Krithivasan; Swagath Venkataramani; Vijayalakshmi Srinivasan (IEEE Micro, 2024)