MVMO, a new weighted multi-objective attack, can inflate earnings and lower fraud scores in about 50 to 66 percent of firm-years, versus under 14 percent for standard attacks.
JULIA YU, and JIE ZHANG
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Adversarial Machine Learning Attacks on Financial Reporting via Maximum Violated Multi-Objective Attack
MVMO, a new weighted multi-objective attack, can inflate earnings and lower fraud scores in about 50 to 66 percent of firm-years, versus under 14 percent for standard attacks.