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cs.SE2022
Two Sides of the Same Coin: Exploiting the Impact of Identifiers in Neural Code Comprehension
Shuzheng Gao, Cuiyun Gao, Chaozheng Wang +3
Previous studies have demonstrated that neural code comprehension models are vulnerable to identifier naming. By renaming as few as one identifier in the source code, the models wo…
cs.CR2022
Verifying Neural Networks Against Backdoor Attacks
Long H. Pham, Jun Sun
Neural networks have achieved state-of-the-art performance in solving many problems, including many applications in safety/security-critical systems. Researchers also discovered mu…