Summary of Scalable Unsupervised Alignment Of General Metric and Non-metric Structures, by Sanketh Vedula et al.
Scalable unsupervised alignment of general metric and non-metric structuresby Sanketh Vedula, Valentino Maiorca, Lorenzo Basile,…
Summary of Modsec-learn: Boosting Modsecurity with Machine Learning, by Christian Scano et al.
ModSec-Learn: Boosting ModSecurity with Machine Learningby Christian Scano, Giuseppe Floris, Biagio Montaruli, Luca Demetrio, Andrea…
Summary of Standardness Clouds Meaning: a Position Regarding the Informed Usage Of Standard Datasets, by Tim Cech et al.
Standardness Clouds Meaning: A Position Regarding the Informed Usage of Standard Datasetsby Tim Cech, Ole…
Summary of Bayes’ Capacity As a Measure For Reconstruction Attacks in Federated Learning, by Sayan Biswas et al.
Bayes’ capacity as a measure for reconstruction attacks in federated learningby Sayan Biswas, Mark Dras,…
Summary of Infinite-horizon Reinforcement Learning with Multinomial Logistic Function Approximation, by Jaehyun Park et al.
Infinite-Horizon Reinforcement Learning with Multinomial Logistic Function Approximationby Jaehyun Park, Junyeop Kwon, Dabeen LeeFirst submitted…
Summary of Machine Learning Applications Of Quantum Computing: a Review, by Thien Nguyen et al.
Machine Learning Applications of Quantum Computing: A Reviewby Thien Nguyen, Tuomo Sipola, Jari HautamäkiFirst submitted…
Summary of Wonderbread: a Benchmark For Evaluating Multimodal Foundation Models on Business Process Management Tasks, by Michael Wornow et al.
WONDERBREAD: A Benchmark for Evaluating Multimodal Foundation Models on Business Process Management Tasksby Michael Wornow,…
Summary of Unlearning or Obfuscating? Jogging the Memory Of Unlearned Llms Via Benign Relearning, by Shengyuan Hu et al.
Unlearning or Obfuscating? Jogging the Memory of Unlearned LLMs via Benign Relearningby Shengyuan Hu, Yiwei…
Summary of Certification For Differentially Private Prediction in Gradient-based Training, by Matthew Wicker et al.
Certification for Differentially Private Prediction in Gradient-Based Trainingby Matthew Wicker, Philip Sosnin, Igor Shilov, Adrianna…
Summary of Patholm: Identifying Pathogenicity From the Dna Sequence Through the Genome Foundation Model, by Sajib Acharjee Dip et al.
PathoLM: Identifying pathogenicity from the DNA sequence through the Genome Foundation Modelby Sajib Acharjee Dip,…