In　this　paper,　we　propose　a　dynamic　authorizable　ciphertext　image　retrieval　scheme　based　on　secure　neural　network　inference　that　effectively　enhances　the　security　of　image　retrieval　while　preserving　privacy.　To　ensure　the　privacy　of　the　original　image　and　enable　feature　extraction　without　decryption　operations,　we　employ　a　secure　neural　network　for　feature　extraction　during　the　index　construction　stage　of　encrypted　images.　Additionally,　we　introduce　a　dynamic　authenticatable　ciphertext　retrieval　algorithm　to　enhance　system　flexibility　and　security　by　enabling　users　to　quickly　and　flexibly　retrieve　authorized　images.　Experimental　results　demonstrate　that　our　scheme　guarantees　data　image　privacy　throughout　the　entire　process　from　upload　to　retrieval　compared　to　similar　literature　schemes.　Furthermore,　our　scheme　ensures　data　availability　while　maintaining　security,　allowing　users　to　conveniently　perform　image　retrieval　operations.　Although　overall　efficiency　may　not　be　optimal　according　to　experimental　results,　our　solution　satisfies　practical　application　needs　in　cloud　computing　environments　by　providing　an　efficient　and　secure　image　retrieval　solution.