141 citations · 152 across the 12 of their papers we have counts for
15 papers
PatchPoison: Poisoning Multi-View Datasets to Degrade 3D Reconstruction
Prajas Wadekar, Venkata Sai Pranav Bachina, Kunal Bhosikar +2
3D Gaussian Splatting (3DGS) has recently enabled highly photorealistic 3D reconstruction from casually captured multi-view images. However, this accessibility raises a privacy con…
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…
CSUM: A Novel Mechanism for Updating CubeSat while Preserving Authenticity and Integrity
Ankit Gangwal, Aashish Paliwal
The recent rise of CubeSat has revolutionized global space explorations, as it offers cost-effective solutions for low-orbit space applications (including climate monitoring, weath…
GENIE: Watermarking Graph Neural Networks for Link Prediction
Venkata Sai Pranav Bachina, Aaryan Ajay Sharma, Ankit Gangwal +1
The rapid adoption, usefulness, and resource-intensive training of Graph Neural Network (GNN) models have made them an invaluable intellectual property in graph-based machine learn…
De-authentication using Ambient Light Sensor
Ankit Gangwal, Aashish Paliwal, Mauro Conti
While user authentication happens before initiating or resuming a login session, de-authentication detects the absence of a previously-authenticated user to revoke her currently ac…
On the Feasibility of Profiling Electric Vehicles through Charging Data
Ankit Gangwal, Aakash Jain, Mauro Conti
Electric vehicles (EVs) represent the long-term green substitute for traditional fuel-based vehicles. To encourage EV adoption, the trust of the end-users must be assured. In this…
BLEWhisperer: Exploiting BLE Advertisements for Data Exfiltration
Ankit Gangwal, Shubham Singh, Riccardo Spolaor +1
Bluetooth technology has enabled short-range wireless communication for billions of devices. Bluetooth Low-Energy (BLE) variant aims at improving power consumption on battery-const…
A Survey of Layer-Two Blockchain Protocols
Ankit Gangwal, Haripriya Ravali Gangavalli, Apoorva Thirupathi
After the success of the Bitcoin blockchain, came several cryptocurrencies and blockchain solutions in the last decade. Nonetheless, Blockchain-based systems still suffer from low…
Improving Password Guessing via Representation Learning
Dario Pasquini, Ankit Gangwal, Giuseppe Ateniese +2
Learning useful representations from unstructured data is one of the core challenges, as well as a driving force, of modern data-driven approaches. Deep learning has demonstrated t…
Detecting Covert Cryptomining using HPC
Ankit Gangwal, Samuele Giuliano Piazzetta, Gianluca Lain +1
Cybercriminals have been exploiting cryptocurrencies to commit various unique financial frauds. Covert cryptomining - which is defined as an unauthorized harnessing of victims' com…
The Road Ahead for Networking: A Survey on ICN-IP Coexistence Solutions
Mauro Conti, Ankit Gangwal, Muhammad Hassan +2
In recent years, the current Internet has experienced an unexpected paradigm shift in the usage model, which has pushed researchers towards the design of the Information-Centric Ne…
Blockchain Trilemma Solver Algorand has Dilemma over Undecidable Messages
Mauro Conti, Ankit Gangwal, Michele Todero
Recently, an ingenious protocol called Algorand has been proposed to overcome these limitations. Algorand uses an innovative process - called cryptographic sortition - to securely…
On the Economic Significance of Ransomware Campaigns: A Bitcoin Transactions Perspective
Mauro Conti, Ankit Gangwal, Sushmita Ruj
Bitcoin cryptocurrency system enables users to transact securely and pseudo-anonymously by using an arbitrary number of aliases (Bitcoin addresses). Cybercriminals exploit these ch…