De, Shankhadeep2021-07-052021-07-052020-0717p.http://hdl.handle.net/10263/7159Dissertation under the supervision of Dr. Dr. Debrup Chakraborty,Associate Professor,Cryptology and Security Research UnitThe existence of evasion attacks during the test phase of machine learning algorithms repre- sents a signi cant challenge to their deployment and understanding. These attacks are carried out by adding imperceptible perturbations to the inputs to generate adversarial examples. As of now designing good robust classi ers in real life seems very di cult. But so far most of the studies depict the relationship between computational power of adversary and robustness of the classi er. In this report, we have used some of the cryptographic schemes to create robust classi ers and show the dependency of robustness with adversarial budget.enHash FunctionsHoe ding's inequalityOther