141 citations · 152 across the 12 of their papers we have counts for
3 papers · 1 filter
LoReTTA: A Low Resource Framework To Poison Continuous Time Dynamic Graphs
Himanshu Pal, Venkata Sai Pranav Bachina, Ankit Gangwal +1
Temporal Graph Neural Networks (TGNNs) are increasingly used in high-stakes domains, such as financial forecasting, recommendation systems, and fraud detection. However, their susc…
Merge Now, Regret Later: The Hidden Cost of Model Merging Is Adversarial Transferability
Mauro Conti, Ankit Gangwal, Aaryan Ajay Sharma
Model Merging (MM) has proven to be an effective alternative to multi-task learning, where several fine-tuned models are merged, without access to the tasks' training data, into on…
KeTS: Kernel-based Trust Segmentation against Model Poisoning Attacks
Ankit Gangwal, Mauro Conti, Tommaso Pauselli
Federated Learning (FL) enables multiple users to collaboratively train a global model in a distributed manner without revealing their personal data. However, FL remains vulnerable…