Apparently not. Let $\gamma=1/3$ and choose some $\varepsilon<\frac{1}{4}$.
For any $k\in\mathbb{N}$ we can consider the set
$$A=\left\{(x_1,\dots,x_k)\in[0,1]^k;\;\sum_{i=1}^k\lfloor2x_i\rfloor\equiv0\text{mod}2\right\}.$$
(So, $A$ is the `white squares' in a $k$-dimensional chess board of side $2$)
Then for any subset $U\subseteq[0,1]$ and any measurable $B\subseteq\mathbb{R}^{k-1}$, we will have $\mu(A\Delta(U\times B))\geq\frac{1}{4}$. This follows from the proof of the claim below and the fact that $A$ can be expressed (up to measure $0$) as $([0,1/2)\times C_1)\cup([1/2,1)\times C_2)$, where $C_1,C_2\subseteq[0,1]^{k-1}$ are disjoint and have measure $1/2$.
Claim: Let $A:=[0,1/2)^2\cup[1/2,1)^2\subseteq[0,1]^2$. For any subsets $X_1,X_2$ of $[0,1]$, $\mu((X_1\times X_2)\Delta A)\geq\frac{1}{4}$.
Proof:
Let $x:=\mu([0,1/2)\cap X_1),y:=\mu([1/2,1)\cap X_1)$,
$z:=\mu([0,1/2)\cap X_2),w:=\mu([1/2,1)\cap X_2)$.
Clearly $\mu((X_1\times X_2)\Delta A)$ only depends on $x,y,z,w$,
and in fact (as shown in the picture, where $(X_1\times X_2)\Delta A$ is shaded) we have $\mu((X_1\times X_2)\Delta A)=\frac{1}{2}+xw+yz-xz-yw$.
Thus, the problem is reduced to minimizing the function $xw+yz-xz-yw$ for $x,y,z,w\in[0,1/2]$, and one checks that the minimum is $-\frac{1}{4}$, concluding the proof.
Similar examples should work for $\gamma=1-\frac{1}{n}$, by letting $\varepsilon=\frac{1}{100n}$ and
$$A=\left\{(x_1,\dots,x_k)\in[0,1]^k;\quad\sum_{i=1}^k\lfloor100(n+1)x_i\rfloor\not\equiv0\text{ mod }n+1\right\}.$$