61 citations · 335 across the 31 of their papers we have counts for
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cs.LG2025
How Good Are LLMs at Processing Tool Outputs?
Kiran Kate, Yara Rizk, Poulami Ghosh +4
Most realistic task automation problems require large language models (LLMs) to call tools, which often return complex JSON responses. These responses must be further processed to…
cs.LG2017
MTDeep: Boosting the Security of Deep Neural Nets Against Adversarial Attacks with Moving Target Defense
Sailik Sengupta, Tathagata Chakraborti, Subbarao Kambhampati
Present attack methods can make state-of-the-art classification systems based on deep neural networks misclassify every adversarially modified test example. The design of general d…