Towards LLM Guardrails via Sparse Representation Steering
Authors: Zeqing He, Zhibo Wang, Huiyu Xu, Kui Ren | Published: 2025-03-21
Role of Machine Learning
The Role of Machine Learning in Cybersecurity
Authors: Giovanni Apruzzese, Pavel Laskov, Edgardo Montes de Oca, Wissam Mallouli, Luis Burdalo Rapa, Athanasios Vasileios Grammatopoulos, Fabio Di Franco | Published: 2022-06-20
Addressing Privacy Threats from Machine Learning
Authors: Mary Anne Smart | Published: 2021-10-25
Datasets are not Enough: Challenges in Labeling Network Traffic
Authors: Jorge Guerra, Carlos Catania, Eduardo Veas | Published: 2021-10-12 | Updated: 2021-12-30
Detecting Adversarial Examples Is (Nearly) As Hard As Classifying Them
Authors: Florian Tramèr | Published: 2021-07-24 | Updated: 2022-06-16
Dynamic detection of mobile malware using smartphone data and machine learning
Authors: J. S. Panman de Wit, J. van der Ham, D. Bucur | Published: 2021-07-23
Towards Quantifying the Carbon Emissions of Differentially Private Machine Learning
Authors: Rakshit Naidu, Harshita Diddee, Ajinkya Mulay, Aleti Vardhan, Krithika Ramesh, Ahmed Zamzam | Published: 2021-07-14
Adversarial for Good? How the Adversarial ML Community’s Values Impede Socially Beneficial Uses of Attacks
Authors: Kendra Albert, Maggie Delano, Bogdan Kulynych, Ram Shankar Siva Kumar | Published: 2021-07-11 | Updated: 2021-09-15
Resilient Cooperative Adaptive Cruise Control for Autonomous Vehicles Using Machine Learning
Authors: Srivalli Boddupalli, Akash Someshwar Rao, Sandip Ray | Published: 2021-03-18
Machine Learning for Detecting Data Exfiltration: A Review
Authors: Bushra Sabir, Faheem Ullah, M. Ali Babar, Raj Gaire | Published: 2020-12-17 | Updated: 2021-03-21