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09/19/2023
GPTFUZZER : Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts
Large language models (LLMs) have recently experienced tremendous popula...
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02/26/2022
Preventing Timing Side-Channels via Security-Aware Just-In-Time Compilation
Recent work has shown that Just-In-Time (JIT) compilation can introduce ...
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05/02/2021
BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning
Recent research has confirmed the feasibility of backdoor attacks in dee...
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02/03/2020
Robust saliency maps with decoy-enhanced saliency score
Saliency methods help to make deep neural network predictions more inter...
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08/02/2019
TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems
A trojan backdoor is a hidden pattern typically implanted in a deep neur...
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05/25/2019
PTrix: Efficient Hardware-Assisted Fuzzing for COTS Binary
Despite its effectiveness in uncovering software defects, American Fuzzy...
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11/07/2018
Explaining Deep Learning Models - A Bayesian Non-parametric Approach
Understanding and interpreting how machine learning (ML) models make dec...
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10/25/2018
Fine-Grained Library Customization
Code bloat widely exists in production-run software. Left untackled, it ...
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01/16/2018
A Comparison of Rule Extraction for Different Recurrent Neural Network Models and Grammatical Complexity
It has been shown that rules can be extracted from highly non-linear, re...
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05/23/2017
Towards Interrogating Discriminative Machine Learning Models
It is oftentimes impossible to understand how machine learning models re...
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04/19/2017
TrustShadow: Secure Execution of Unmodified Applications with ARM TrustZone
The rapid evolution of Internet-of-Things (IoT) technologies has led to ...
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01/17/2011
