Jamal Atif

1. Randomization matters. How to defend against strong adversarial attacks
   2020/02/26 by Rafaël Pinot, Pinot, Rafael, Raphael Ettedgui +7 · 2 citations
   Computer Science · #Advanced Malware Detection Techniques #Adversarial Robustness in Machine Learning #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Physical Unclonable Functions (PUFs) and Hardware Security
2. Theoretical evidence for adversarial robustness through randomization
   2019/02/04 by Rafaël Pinot, Laurent Meunier, Pinot, Rafael +11 · 2 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Stochastic Gradient Optimization Techniques
3. Online certification of preference-based fairness for personalized recommender systems
   2021/04/29 by Virginie Do, Do, Virginie, Sam Corbett‐Davies +5 · 1 citation
   Computer Science · Decision Sciences · Engineering · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Recommender Systems and Techniques #Smart Grid Energy Management
4. Towards Consistency in Adversarial Classification
   2022/05/20 by Laurent Meunier, Raphaël Ettedgui, Meunier, Laurent +7 · 1 citation
   Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification
5. Mixed Nash Equilibria in the Adversarial Examples Game
   2021/02/13 by Laurent Meunier, Meunier, Laurent, Meyer Scetbon +7 · 1 citation
   Computer Science · #Adversarial Robustness in Machine Learning #Advanced Malware Detection Techniques #Reinforcement Learning in Robotics