1k citations · 4.2k across the 120 of their papers we have counts for
4 papers · 1 filter
Adversarial Attacks and Defenses in Large Language Models: Old and New Threats
Leo Schwinn, David Dobre, Stephan Günnemann +1
Over the past decade, there has been extensive research aimed at enhancing the robustness of neural networks, yet this problem remains vastly unsolved. Here, one major impediment h…
Mining Contrasting Quasi-Clique Patterns
Roberto Alonso, Stephan Günnemann
Mining dense quasi-cliques is a well-known clustering task with applications ranging from social networks over collaboration graphs to document analysis. Recent work has extended t…
Item Recommendation with Continuous Experience Evolution of Users using Brownian Motion
Subhabrata Mukherjee, Stephan Guennemann, Gerhard Weikum
Online review communities are dynamic as users join and leave, adopt new vocabulary, and adapt to evolving trends. Recent work has shown that recommender systems benefit from expli…
BIRDNEST: Bayesian Inference for Ratings-Fraud Detection
Bryan Hooi, Neil Shah, Alex Beutel +5
Review fraud is a pervasive problem in online commerce, in which fraudulent sellers write or purchase fake reviews to manipulate perception of their products and services. Fake rev…