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Natural backdoors in CodeLMs are not just a theoretical concern; they are prevalent and can undermine security across multiple code intelligence tasks.
LLMs underperform traditional ML methods in software fairness tasks, challenging the assumption that they offer a silver bullet solution for bias mitigation.
