27 citations · 96 across the 15 of their papers we have counts for
18 papers
DefenderBench: A Toolkit for Evaluating Language Agents in Cybersecurity Environments
Chiyu Zhang, Marc-Alexandre Cote, Michael Albada +6
Large language model (LLM) agents have shown impressive capabilities in human language comprehension and reasoning, yet their potential in cybersecurity remains underexplored. We i…
AttentionDefense: Leveraging System Prompt Attention for Explainable Defense Against Novel Jailbreaks
Charlotte Siska, Anush Sankaran
In the past few years, Language Models (LMs) have shown par-human capabilities in several domains. Despite their practical applications and exceeding user consumption, they are sus…
On Causal Inference for Data-free Structured Pruning
Martin Ferianc, Anush Sankaran, Olivier Mastropietro +2
Neural networks (NNs) are making a large impact both on research and industry. Nevertheless, as NNs' accuracy increases, it is followed by an expansion in their size, required numb…
Deeplite Neutrino: An End-to-End Framework for Constrained Deep Learning Model Optimization
Anush Sankaran, Olivier Mastropietro, Ehsan Saboori +4
Designing deep learning-based solutions is becoming a race for training deeper models with a greater number of layers. While a large-size deeper model could provide competitive acc…
Reducing Overlearning through Disentangled Representations by Suppressing Unknown Tasks
Naveen Panwar, Tarun Tater, Anush Sankaran +1
Existing deep learning approaches for learning visual features tend to overlearn and extract more information than what is required for the task at hand. From a privacy preservatio…
AuthorGAN: Improving GAN Reproducibility using a Modular GAN Framework
Raunak Sinha, Anush Sankaran, Mayank Vatsa +1
Generative models are becoming increasingly popular in the literature, with Generative Adversarial Networks (GAN) being the most successful variant, yet. With this increasing deman…