research
∙
08/29/2023
PEM: Representing Binary Program Semantics for Similarity Analysis via a Probabilistic Execution Model
Binary similarity analysis determines if two binary executables are from...
share
research
∙
08/14/2023
EasyEdit: An Easy-to-use Knowledge Editing Framework for Large Language Models
Large Language Models (LLMs) usually suffer from knowledge cutoff or fal...
research
∙
06/05/2023
LmPa: Improving Decompilation by Synergy of Large Language Model and Program Analysis
Decompilation aims to recover the source code form of a binary executabl...
research
∙
05/22/2023
Editing Large Language Models: Problems, Methods, and Opportunities
Recent advancements in deep learning have precipitated the emergence of ...
research
∙
03/23/2023
Detecting Backdoors in Pre-trained Encoders
Self-supervised learning in computer vision trains on unlabeled data, su...
research
∙
01/25/2023
Editing Language Model-based Knowledge Graph Embeddings
Recently decades have witnessed the empirical success of framing Knowled...
research
∙
01/16/2023
BEAGLE: Forensics of Deep Learning Backdoor Attack for Better Defense
Deep Learning backdoor attacks have a threat model similar to traditiona...
research
∙
11/29/2022
Backdoor Vulnerabilities in Normally Trained Deep Learning Models
We conduct a systematic study of backdoor vulnerabilities in normally tr...
research
∙
11/07/2022
RITA: Boost Autonomous Driving Simulators with Realistic Interactive Traffic Flow
High-quality traffic flow generation is the core module in building simu...
research
∙
10/23/2022
FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning
Federated Learning (FL) is a distributed learning paradigm that enables ...
research
∙
06/18/2022
DECK: Model Hardening for Defending Pervasive Backdoors
Pervasive backdoors are triggered by dynamic and pervasive input perturb...
research
∙
05/22/2022
Relphormer: Relational Graph Transformer for Knowledge Graph Representation
Transformers have achieved remarkable performance in widespread fields, ...
research
∙
04/09/2022
Contrastive Demonstration Tuning for Pre-trained Language Models
Pretrained language models can be effectively stimulated by textual prom...
research
∙
02/24/2022
A spectral-spatial fusion anomaly detection method for hyperspectral imagery
In hyperspectral, high-quality spectral signals convey subtle spectral d...
research
∙
01/23/2022
OntoProtein: Protein Pretraining With Gene Ontology Embedding
Self-supervised protein language models have proved their effectiveness ...
research
∙
04/02/2021
Learning to Filter: Siamese Relation Network for Robust Tracking
Despite the great success of Siamese-based trackers, their performance u...
research
∙
02/09/2021
Backdoor Scanning for Deep Neural Networks through K-Arm Optimization
Back-door attack poses a severe threat to deep learning systems. It inje...
research
∙
12/21/2020
Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification
Trojan (backdoor) attack is a form of adversarial attack on deep neural ...
research
∙
04/26/2020