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Found 12 papers, 4 papers with code
RITFIS: Robust input testing framework for LLMs-based intelligent software
To our knowledge, RITFIS is the first framework designed to assess the robustness of LLM-based intelligent software against natural language inputs.
LEAP: Efficient and Automated Test Method for NLP Software
The widespread adoption of DNNs in NLP software has highlighted the need for robustness.
Towards Stealthy Backdoor Attacks against Speech Recognition via Elements of Sound
Motivated by these findings, we propose to exploit elements of sound ($e. g.$, pitch and timbre) to design more stealthy yet effective poison-only backdoor attacks.
Neural Free-Viewpoint Relighting for Glossy Indirect Illumination
In this paper, we demonstrate a hybrid neural-wavelet PRT solution to high-frequency indirect illumination, including glossy reflection, for relighting with changing view.
VSVC: Backdoor attack against Keyword Spotting based on Voiceprint Selection and Voice Conversion
Keyword spotting (KWS) based on deep neural networks (DNNs) has achieved massive success in voice control scenarios.
PBSM: Backdoor attack against Keyword spotting based on pitch boosting and sound masking
The training of KWS is usually based on deep neural networks and requires a large amount of data.
Adversarial Robustness of Deep Neural Networks: A Survey from a Formal Verification Perspective
For those reasons, there is a high demand for trustworthy and rigorous methods to verify the robustness of neural network models.
Generalizing Neural Networks by Reflecting Deviating Data in Production
However, inputs may deviate from the training dataset distribution in real deployments.
Adaptive Prototypical Networks with Label Words and Joint Representation Learning for Few-Shot Relation Classification
First, based on the prototypical networks, we propose an adaptive mixture mechanism to add label words to the representation of the class prototype, which, to the best of our knowledge, is the first attempt to integrate the label information into features of the support samples of each class so as to get more interactive class prototypes.
Chiral Rings, Futaki Invariants, Plethystics, and Groebner Bases
We study chiral rings of 4d $\mathcal{N}=1$ supersymmetric gauge theories via the notion of K-stability.
High Energy Physics - Theory Algebraic Geometry
Hybrid Attention-Based Transformer Block Model for Distant Supervision Relation Extraction
With an exponential explosive growth of various digital text information, it is challenging to efficiently obtain specific knowledge from massive unstructured text information.
Towards Complex Text-to-SQL in Cross-Domain Database with Intermediate Representation
We present a neural approach called IRNet for complex and cross-domain Text-to-SQL.
